Seminars
WCPM hosts regular seminars where we invite speakers working both in fundamental methodology and on applications of predictive modelling and UQ.
These seminars have been running since October 2016 and take place on Mondays at 1pm, with a focus on all aspects of research involving significant computation. The majority of seminars are held in person and for Term 3 of the 2025-2026 academic year talks will take place in L5 on the Science Concourse. Please see details of each seminar below to confirm the format.
If you would like to be kept informed of upcoming seminars, please sign up at Info | wcpm-seminar@newlistserv.warwick.ac.uk - listserv.warwick.ac.uk. Note this link does not work in all browsers - it does work in Microsoft Edge.
Details of past and upcoming presentations are below.
Upcoming Seminars
Mon 27 Apr, '26- |
WCPM: Savvaki Savva, Morgan Advanced MaterialsL5, Science ConcourseNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: Modelling in Industry: Case Studies from Ceramics Manufacturing at Morgan Abstract: This seminar presents an industrial perspective on modelling through a selection of case studies from ceramics manufacturing at Morgan. I will begin with a brief introduction to Morgan and my role within its modelling activities, providing context on how modelling fits into a broader industrial R&D and manufacturing environment. The main focus of the talk will be two modelling projects, chosen to illustrate the different roles models can play in industrial decision‑making. Rather than emphasizing technical detail, the discussion will highlight how these projects were framed, the constraints under which the modelling was carried out, and some of the practical challenges encountered, including data limitations, uncertainty, and trade‑offs between model fidelity and usability. The aim is to give an insight into how modelling research projects typically operate in industry, and how this differs from an academic setting. Bio: Savvaki Savva is a Senior Materials Scientist at Morgan Advanced Materials, with extensive experience in the ceramics and advanced materials industry. Her work focuses on research and development, with particular expertise in additive manufacturing, materials chemistry, and process optimisation. Savvaki has built a strong career translating fundamental materials science into industrial applications. Since joining Morgan Advanced Materials in 2017, she has progressed from Materials Scientist to Senior Materials Scientist, contributing to the development and improvement of high-performance ceramic materials and manufacturing processes. She previously worked at Doncasters Precision Castings, where she specialised in process control and materials troubleshooting within ceramic core and shell systems, driving process improvements in an industrial production environment. Savvaki completed her PhD in Materials Chemistry at the University of Birmingham, where her research focused on developing novel materials for the removal of strontium from nuclear waste. Her work explored ion exchange materials, bridging academic research with real-world nuclear industry challenges, including collaboration with the National Nuclear Laboratory. With a strong foundation across chemistry, physics, and materials science, Savvaki brings a practical, industry-focused perspective to advanced materials research and innovation. |
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Mon 11 May, '26- |
WCPM: Samuel Cooper, ImperialL5, Science ConcourseNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: Small Features, Big Impact: Designing at the Microscale with Generative AI Abstract: The microscale features of porous battery electrodes strongly influence how fast they charge and how long they last. These features are governed by manufacturing parameters such as temperature and pressure, yet the relationship between processing and the resulting microstructure remains extremely difficult to predict using physics-based simulations. In this talk, I will demonstrate how generative AI tools, developed by my team at Imperial College London, have unlocked powerful new capabilities for microstructural characterisation and design, such as the generation of 3D data from a single 2D image. I will also share our work on a new workflow for the characterisation and simulation of graded electrodes, which are common in commercial cells. Finally, I will present my teams most recent work on vision and language foundation models, in particular exploring who they conceptualise scientific concepts and how they can be used in agentic workflows. Bio: Dr Sam Cooper leads the TLDR group at Imperial College London who focus on the application of AI to materials science. Recently publications have focused on the use of generative AI to create 3D microstructural data from a 2D image [1], conditionalized models to map processing parameters to the microstructure of battery electrodes [2], and the representation of scientific concepts inside LLMs [3]. Dr Cooper was recently awarded a £2M EPSRC Open Plus Fellow in AI for Materials Science with Deep Reproducibility. In 2024 he spun-out a company, www.polaron.ai, to bring IP developed at Imperial to manufacturers around the world. Polaron were the winners of the inaugural Manchester prize and recently raised an $8M seed round. In 2017, Dr Cooper created the online course “Mathematics for Machine Learning” on Coursera which has since been taken by over 700,000 learners. [1] https://www.nature.com/articles/s42256-021-00322-1 [2] https://www.cell.com/matter/fulltext/S2590-2385(24)00446-6 [3] https://pubs.rsc.org/en/content/articlelanding/2025/dd/d5dd00374a
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Mon 18 May, '26- |
WCPM, Paddy Royall, WarwickL5, Science ConcourseNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: TBC Abstract: TBC Bio: TBC |
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Mon 1 Jun, '26- |
WCPM, Thomasina Ball, WarwickL5, Science ConcourseNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: TBC Abstract: TBC Bio: Research Interests: Thomasina's research interests lie in mathematical modelling of fluid dynamical phenomena from observations of laboratory experiments and the natural world around us. In particular she is interested in the areas of: non-Newtonian rheologies, yield stress fluids, gravity-driven flow, geophysical flows, instabilities that arise from rheology contrasts, fluid-structure interactions. Most relevant recent publications: Ball, T. V. & Balmforth, N. J. (2025) Non-axisymmetric patterns in floating viscoplastic films. J. Fluid Mech. 1007. Ribinskas, E., Ball, T. V., Penney, C. E., & Neufeld, J. A. (2024) Scraping of a viscoplastic fluid to model mountain building. J. Fluid Mech. See her Publications page for a full list with preprints: https://warwick.ac.uk/fac/sci/maths/people/staff/tball/ |
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Mon 8 Jun, '26- |
WCPM, Kevin Huang, WarwickNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: TBC Abstract: TBC Bio: Kevin is a postdoctoral research fellow funded by the Engineering and Physical Sciences Research Council (EPSRC) through the ProbAI Hub. They are currently based at the University of Warwick, working with Gareth Roberts, and collaborate with Boris Hanin at Princeton University. They completed a PhD in machine learning at the Gatsby Computational Neuroscience Unit, University College London, under the supervision of Peter Orbanz and Morgane Austern. During this time, they were also a visiting researcher with the LIPS group at Princeton Computer Science, hosted by Ryan P. Adams. Prior to this, they completed both their undergraduate and master’s degrees in mathematics at the University of Cambridge. Their research lies at the intersection of machine learning theory, probability, and statistics. They study the emergence of universal structures in large-scale stochastic systems, drawing on tools from random matrix theory, high-dimensional statistics, symmetry-based inference, and stochastic optimisation. Alongside this theoretical work, they increasingly engage with applied challenges, particularly around scaling laws in neural networks, AI for scientific discovery, and the robustness and safety of machine learning models. For the 2025–2026 academic year, he is co-organising the ProbAI online seminar series and will lead the ProbAI Theory of Scaling Laws Workshop at Warwick in summer 2026. |
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Mon 15 Jun, '26- |
WCPM, Sam Livingstone, UCLNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: TBC Abstract: TBC Bio: Sam is an associate professor at University College London (UCL). In his research he uses tools from probability and mathematical analysis to study algorithms in Statistics and Machine Learning. The field is often called CSML. He can also do some more methodological work in probabilistic modelling, particularly for health applications (see his research page for more).https://samueljlivingstone.wixsite.com/webpage He currently serves as associate editor for the journal Biometrika. Until Oct 2024 he held an EPSRC New Investigator Award entitled 'Robust and scalable Markov chain Monte Carlo for heterogeneous models'. In 2021he became the first UK recipient of the Blackwell--Rosenbluth award from the International Society for Bayesian Analysis. He joined the department of Statistical Science in January 2018, after a postdoc at the University of Bristol, under Christophe Andrieu, as part of the i-like project, and before that a PhD at UCL, supervised by Mark Girolami and Alex Beskos. He believes in Stigler's law of eponymy, and that the concept of multiple discovery/simultaneous invention is more closely aligned with the reality of scientific research than the heroic theory of invention that is dominant in popular culture. That being said, I still have a romantic view of academic life and strive for originality in his work. You can understand some of his thoughts on research from this podcast episode: Betancourting Disaster Round 13: Transitioning Between Statistical Theory and Practice | Patreon.
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Mon 22 Jun, '26- |
WCPM, Ludovic Berthier, ESPCINetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: TBC Abstract: TBC Bio: Ludovic Berthier is a Directeur de Recherche at the CNRS, based at the Laboratoire Gulliver at ESPCI Paris. He is an internationally recognised leader in statistical physics, specialising in the theory and simulation of complex, disordered systems. His research spans a wide range of topics at the intersection of physics and materials science, including non-equilibrium statistical mechanics, soft matter and complex fluids, and the physics of supercooled liquids and glasses. He has made particularly influential contributions to understanding the glass transition, amorphous solids, and jamming phenomena, as well as emerging areas such as active and biological matter. Ludovic’s work combines theoretical insight with advanced computational methods to uncover universal behaviours in high-dimensional and disordered systems. He has authored numerous high-impact publications in leading journals such as Nature Materials, Physical Review Letters, Physical Review X, and PNAS, and has contributed to major review articles shaping the field, including on yielding in amorphous solids and machine learning approaches to glassy systems. Through his research, he continues to push the boundaries of how we understand and design complex materials, both in and out of equilibrium. Find out more here: https://ludovicberthier.github.io/ |
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Mon 29 Jun, '26- |
WCPM, Loïc Lannelongue, CambridgeNetworking Lunch: Outside L5, from 12:30pm - 1pm.
Title: The (environmental) sustainability challenge of modern computing & AI Abstract: From genetic studies and astrophysics simulations to AI, scientific computing has enabled amazing discoveries—and there's no doubt it will continue to do so. At the same time, the resource usage (energy, water) and environmental impacts of digital (research) infrastructures are becoming impossible to ignore given the urgency of the climate crisis. So what can we all do about it? And as scientists, should we even be thinking about this? We'll break down how computing activities impact the environment, debate our collective responsibility to tackle it, and discuss the latest efforts of the Cambridge Sustainable Computing Lab to empower researchers to understand and mitigate their environmental impacts. Through the lens of the GREENER principles for environmentally sustainable science, we'll explore the challenges the research community needs to overcome to create real change in this space. It will also be a chance to highlight how the Green DiSC certification framework can support scientists and institutions in making their research more sustainable. Bio: Dr Loïc Lannelongue is an Assistant Research Professor in Computer Science at the University of Cambridge, where he also serves as Bye-Fellow and Director of Studies in Computer Science (Part II) at Jesus College Cambridge. His work sits at the intersection of computing, sustainability, and responsible innovation. Dr Lannelongue specialises in environmentally sustainable computing, with a particular focus on understanding and reducing the environmental impact of modern computational practices, including artificial intelligence. His research takes a multi-faceted approach, combining technical development, behavioural insights, and policy engagement to drive more sustainable scientific workflows. His academic interests include developing tools to monitor and reduce the carbon footprint of scientific computing, contributing to sustainability frameworks and policy, and exploring the ethical implications of modern science and AI. In parallel, he works in radiogenomics, applying machine learning to integrate genomics and medical imaging data to improve understanding of cardiovascular disease. Through his research and teaching, Dr Lannelongue is committed to advancing a more sustainable and responsible future for computational science. Webpage: https://www.jesus.cam.ac.uk/people/loic-lannelongueLink opens in a new window |
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Term 3 Seminars (2026)
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Date |
Speaker | Presentation | |
| 27 Apr |  |
Savvaki Savva , Morgan Advanced Materials |
Title: Modelling in Industry: Case Studies from Ceramics Manufacturing at Morgan |
| 4 May | Bank Holiday - there will be no seminar taking place this week | ||
| 11 May | Sam Cooper, Imperial |
Title: Small Features, Big Impact: Designing at the Microscale with Generative AI |
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| 18 May | Paddy Royall, Warwick |
Title TBC Abstract TBC |
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| 25 May | Bank Holiday - there will be no seminar taking place this week | ||
| 01 Jun | Thomasina Ball, Warwick |
Title TBC Abstract TBC |
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| 08 Jun | Kevin Huang, Warwick |
Title TBC Abstract TBC |
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| 15 Jun | Sam Livingstone, UCL |
Title TBC Abstract TBC |
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| 22 Jun |  |
Ludovic Berthier, ESPCI |
Title TBC Abstract TBC |
| 29 Jun |  |
Loïc Lannelongue, Cambridge |
Title: The (environmental) sustainability challenge of modern computing & AI |
Term 2 Seminars (2026)
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Date |
Speaker | Presentation | |
| 09 Mar |  |
John Wilkinson, UKRI, ISIS Muon Group |
Title: From Spins to Sites: Using Computation to Unlock the Full Power of Muon Spectroscopy
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| 02 Mar | Brennon Shanks, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences |
Title: Embracing Uncertainty in Computational Chemistry the Bayesian Way |
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| 23 Feb |  |
Solveig Aamlid, University of British Columbia |
Title: Phase stability and short-range order in high entropy oxides |
| 16 Feb |  |
Eleonora Ricci, University of Edinburgh |
Title: Combined physics-based and data-driven modelling strategies for gas solubility in polymers |
| 09 Feb | Vanessa Ward, Durham University |
Title: TBC |
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| 02 Feb |  |
Linn Leppert, University of Twente |
Title: Excitons in low-dimensional metal-halide perovskites from first principles |
| 26 Jan | |
Steven Pierson, JLR |
Title: Industrial Computer Aided Engineering: The “Why”, the “What” and the “how”. |
| 19 Jan | Balazs Ujfalussy, Wigner Research Centre |
Title: Superconducting properties of Fe/Au/Nb heterostructures form first principles |
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Past Seminars (2025)
| 1 Dec |  |
Dennis Prangle, Bristol |
Talk Title: Inference for State Space Models with Long Data by Variational Methods |
| 24 Nov |  |
Mark Girolami, Cambridge |
Talk Title: Statistical Finite Element Methods |
| 17 Nov |  |
Simone Köcher, Research Centre Jülich |
Talk Title: Synergy of Theory and Experimental NMR in Energy Material Research |
| 10 Nov | Edwina Yeo, UCL |
Talk Title: A theoretical maximum for bacterial surface adhesion in fluid flow |
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| 3 Nov |  |
Emma Davis, Warwick |
Talk Title: Modelling infectious diseases: vectors, branching processes and low prevalence dynamics
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| 27 Oct | Nick Tawn, Warwick |
Talk Title: Annealed Leap-Point Sampler for Multimodal Target Distributions |
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| 20 Oct |  |
Kirk Bevan, McGill University |
Talk Title: Mapping Device Current Flow Concepts to Electrochemistry
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| 13 Oct |  |
Luke Davis, Edinburgh |
Talk Title: Stochastic geometry of active matter |
| 06 Oct |  |
Peng Wang, Warwick |
Talk Title: An Emerging Electron Microscopy Imaging Technology for Physical and Biological Sciences: 4D STEM Electron Ptychography |
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| 30 Jun | Jincheng Zhang, Warwick |
Physics-informed machine learning for wind energy applications |
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| 23 Jun |  |
Graeme Day, Southampton |
Prediction-led Discovery of Functional Molecular Organic Crystals |
| 16 Jun |  |
Eduardo Mendive Tapia, University of Barcelona |
Magnetostructural properties of materials at finite temperature by means of magnetically constrained supercell calculations. |
| 9 June |  |
Louise Dyson, Warwick |
Data-rich but time-poor: challenges in real-time pandemic modelling |
| 2 June |  |
Robert-Jan Slager, Cambridge |
Quantum geometry beyond single flat bands and Euler exact projected entangled pair ground states |
| 19 May |  |
Subhash Lakshminarayana, Warwick |
Computational Methods for Enhancing Power System Resilience to Cyber Attacks Abstract |
| 12 May |  |
Hussein Rappel, Exeter |
Probabilistic Logic for Creating Virtual Populations |
| 28 Apr |  |
Rebecca Nealon, Warwick |
Adaptive Particle Refinement in Smoothed Particle Hydrodynamics |
| 10 Mar |  |
Syma Khalid, Oxford |
Computational microbiology of the E. coli cell envelope: successes and challenges |
| 03 Mar |  |
Ivana Savic, KCL |
First principles simulations of electron-phonon coupling and thermoelectric transport in PbTe |
| 24 Feb |  |
Alice Cobella, Warwick |
Modelling severity of emerging epidemics via state-space models and the lifebelt particle filter. |
| 17 Feb |  |
Ryan Requist, IRB |
Strategies for including non-adiabatic effects in ab initio materials modeling |
| 03 Feb |  |
Annabel Davies, Bristol |
Statistical physics and complex networks in meta-analysis: from random walks to hypergraphs |
| 27 Jan |  |
James Kermode, Warwick |
Applying Scientific Machine Learning at the Electronic and Atomistic Scales to Model Materials Failure Processes |
| 20 Jan |  |
Jakub Lengiewicz, Luxembourg Institute of Science and Technology |
Towards Deep Learning Surrogate Modelling with Uncertainty Quantification in Mechanics |
| 13 Jan | Naomi Hirayama, Warwick |
Theoretical Study on Local Structures in Fe-based Amorphous Alloys |
Past Seminars (2023/24)
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Date |
Speaker | Presentation | |
| 02 Dec |  |
Lucy Whalley, Northumbria |
Predicting the phase stability of BaZrS3 using a range of approaches: from harmonic lattice dynamics to the neuroevolution-potential framework |
| 25 Nov |  |
Erik Bitzek, Max-Planck-Institut für Eisenforschung |
Atomistic Simulations of Dislocation – Precipitate Interactions in Ni-based Superalloys |
| 18 Nov |  |
Mike Chappell, Warwick |
Structural Identifiability Analysis: An Important Tool in Systems Modelling |
| 11 Nov |  |
Michael Herbst EPFL |
Robust error-controlled materials simulations |
| 04 Nov |  |
Indrajit Maity, MPI Hamburg |
Atomistic modelling of moiré materials: from excitons to phasons |
| 28 Oct |  |
James Edwards, Plymouth |
Monte Carlo simulations of quantum fields with point particle trajectories |
| 21 Oct |
Emma Horton, Warwick |
Monte Carlo methods for branching particle systems |
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| 14 Oct |  |
Marina R Filip, Oxford |
Exciton (De)Localization and Dissociation in Heterogeneous Semiconductors from First Principles Computational Modeling |
| 7 Oct |  |
Alice Thorneywork, Oxford |
Uncovering molecular transport mechanisms by counting with colloids |
| 30 Sept |  |
Gareth Roberts, Warwick |
What does non-reversibility really buy you in MCMC, with application to parallel tempering. |
| 10 June |  |
Beñat Gurrutxaga-Lerma, Birmingham |
Dynamic defect generation in metals |
| 03 June |  |
Chris Patrick, Oxford |
Rare earth magnets - bridging the gap between electronic and atomistic models |
| 20 May |  |
Erin Johnson, Dalhousie University (Canada) |
London Dispersion in Density-Functional Theory and Application to Molecular Crystal Structure Prediction |
| 13 May |  |
Venkat Kapil, UCL |
Machine learning for first-principles simulations of electrons and nuclei |
| 29 April |  |
Milica Todorovic, University of Turku (Finland) |
Active learning for data-efficient optimisation of materials and processes |
| 22 April | |
Industry Speaker: Dr Leonie Koch, Schrodinger |
Materials Science Suite for Polymer and Battery Applications |
| 11 March |  |
Shanmugam Kumar, Glasgow |
Innovations in Multifunctional Materials and Composites through Additive Manufacturing and Nanoengineering |
| 4th March | |
Professor Apala Majumdar, Strathclyde |
Solution Landscapes in the Landau-de Gennes theory for Nematic Liquid Crystals: Analysis, Computations and Applications |
| 26th Feb | |
Sarah Ferguson Briggs, Imperial |
Exploring the linear stability of core-annular flow with ferrofluids: the role of magnetic fields and an axial rod |
| 19th Feb |  |
Jisun Im, Warwick |
Nanomaterials for advanced printed electronics |
| 12th Feb |  |
Andreas Kyprianou, Warwick |
Mathematics of Radiation Transport Modelling |
| 5th Feb |  |
Brendan Spillane, Warwick |
Intellectual Property and Software |
| 29th Jan |  |
Emmanouil Kakouris, Warwick |
Material Point Method for solving fracture and contact mechanics problems |
| 22nd Jan |  |
Ben Hourahine, Strathclyde |
Large scale approximate quantum models for materials, molecules and interfaces |
| 15th Jan |  |
Garth Wells, Cambridge |
Solving differential equations at the exascale |
| 8th Jan |  |
Katarzyna Macieszczak, UoW |
Quantum Jump Monte Carlo: principles, challenges, and perspectives |
| 27th Nov |  |
Arpan Mukhopadhyay, UoW |
Consensus Dynamics on Networks of Biased Agents |
| 20th November |  |
Kim Jelfs, Imperial College London |
Computational discovery of molecular materials |
| 13th Nov |  |
Michael Faulkner, University of Warwick |
Fast sampling at phase transitions in statistical physics |
| 6th Nov |  |
Ricardo Grau-Crespo, University of Reading |
Designing materials for thermoelectric applications: density functional theory and machine learning |
| 30th Oct |  |
Clarice Poon, University of Bath |
Sparsistency for inverse optimal transport |
| 23rd Oct |  |
Ellen Luckins, University of Warwick |
Multiscale free-boundary problems in reactive decontamination and filtration |
| 16th Oct |  |
Edit Mátyus, ELTE Institute of Chemistry |
Relativistic QED developments for atomic and molecular bound state computations |
| 9th Oct |  |
Till Bretschneider, University of Warwick |
Image-based modelling of cell membrane dynamics in cell migration and cell drinking |
| 2nd Oct |  |
Lukas Hörmann (University of Warwick) |
The impact of the atomic structure of an interface on its electronic and mechanical properties |
Past Seminars (2022/23)
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Date |
Speaker | Presentation | |
| 19th June |  |
Rocco Martinazzo (Università degli Studi di Milano) |
Quantum dynamics with a multitude of electronic states: from electronic friction to quantum hydrodynamics of coupled e-n systems |
| 12th June |  |
Zsuzsanna Koczor-Benda (University of Warwick) |
Computational molecular design for terahertz detection and surface-enhanced applications |
| 5th June |  |
Ferran Brosa Planella (University of Warwick) |
Asymptotic methods for lithium-ion battery models |
| 22nd May |  |
Randa Herzallah (University of Warwick) |
Fully Probabilistic Control for Quantum Systems |
| 15th May |  |
Mohsen Mirkhalaf (University of Gothenburg) |
Deep-learning-enhanced multi-scale modelling of composites |
| 24th April |  |
Long Tran-Tranh (University of Warwick) |
Sequential Decision Making Under Resource Constraints and Potential Applications to Materials Sciences |
| 13th March |  |
Edina Rosta (UCL) |
Enhanced Sampling Simulations of Biomolecular Systems |
| 6th March |  |
Yi Yu (University of Warwick) |
Detecting and localising changes in different environments |
| 27th Feb | |
Matt Ismail (University of Warwick) |
SCRTP facilities update |
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13th Feb |
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Davide De Focatiis (University of Nottingham) |
A constitutive model for high strain rate properties of amorphous polymers |
| 6th Feb 2023 |  |
Marjolein Dijkstra |
Machine learning and Inverse design of soft materials |
| 30th Jan 2023 |
Hannes Holey (Karlsruhe Institute of Technology) |
Towards multiscale modelling of boundary lubrication |
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| 23rd Jan 2023 |  |
Nils Hertl (University of Warwick) |
Investigating the dynamics of H atom scattering from surfaces with molecular dynamics simulations |
| 16th Jan 2023 |
Tilmann Hickel (Federal Institute for Materials and Research Testing, Berlin) |
Design of finite temperature materials properties enabled by innovative digital concepts |
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| 9 Jan 2023 |  |
Volker Deringer (University of Oxford) |
Atomic-scale machine learning for inorganic materials chemistry |
| 28 Nov 2022 |  |
Doireann O'Kiely (University of Limerick) |
Moving out of plane: wrinkling and buckling |
| 21 Nov 2022 |  |
Animesh Datta (Warwick University) |
Quantum simulation: An Overview |
| 14 Nov 2022 |  |
Miguel Caro (Aalto University) |
Machine-learning-driven simulation of real carbon materials |
| 7 Nov 2022 |  |
Ganna Gryn’ova (Heidelberg Institute for Theoretical Studies) |
Computational Chemistry and Machine Learning of Functional Organic Materials |
| 31 Oct 2022 |  |
Mark Greenaway (Loughborough) |
Resonant tunnelling in graphene-boron nitride transistors |
| 24 Oct 2022 |  |
Pavlo O Dral (Xiamen University Malaysia) |
Accelerating and Improving Computational Chemistry with Artificial Intelligence / |
| 17 Oct 2022 |
Federico Bosi (UCL) |
The quest for ultralightweight materials: from membranes to architected lattices |
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| 10 Oct 2022 | |
Rose K Ceronsky (École |
Extracting Design Principles from Physics-Adapted Machine Learning Problems |
| 3 Oct 2022 |  |
Tess E Smidt (MIT) |
Euclidean Symmetry Equivariant Machine Learning for Atomic Systems - |
Past Seminars (2021/22)
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Date |
Speaker | Presentation | |
| 6 June 2022 |  |
Marie Therese Wolfram (University of Warwick) |
Pedestrian Dynamics |
| 30 May 2022 |  |
Gus Hart (Brigham Young University) |
Building Useful Machine-Learned Interatomic Potentials |
| 23 May 2022 |  |
Joseph Prentice (University of Oxford) |
Efficient computation of optical properties of large-scale heterogeneous systems |
| 16 May 2022 |  |
Matthias Sachs (University of Birmingham) |
HAL: Hyperactive Bayesian Learning for Molecular Force Fields |
| 9 May 2022 | |
Chiara Gattinoni (London South Bank University) |
Electrostatic effects in nanoscale ferroelectrics |
| 14 March 2022 | |
Olga Bagerra Oxford Brookes University |
Recent developments on discovering structure-function relations of soft tissues. Case study: the knee meniscus |
| 28 February 2022 |
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Sarbani Patra University of Warwick |
The dynamics of photodissociation and isomerization reactions – Classical and quantum aspects |
| 21 February 2022 |
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Emilio Martinez-Paneda Imperial College London |
Predictive modelling of multi-physics material degradation challenges: batteries, corrosion and hydrogen embrittlement |
| 14 February 2022 |
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Julia Brettschneider University of Warwick |
Exploratory data analysis and non-parametric methods for point pattern analysis for fluorescent microscopic images and digital X-ray detectors |
| 07 February 2022 |
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Thomas Swinburne Marseille Interdisciplinary Nanoscience Center (CINaM) |
Geometric use of linear models in high accuracy or high throughput simulations of defects |
| 31 January 2022 |
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Giovanni Porta Politecnico di Milano |
Upscaling of solute transport and surface reactions in porous media |
| 24 January 2022 |
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Celia Reina University of Pennsylvania |
Predicting Non-equilibrium Phenomena: A Journey Through Space and Time Scales |
| 17 January 2022 |
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Laurent Béland Queen’s University, Ontario |
Simulating nuclear materials across multiple time and length scales |
| 10 January 2022 |
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Jerry Wang Carnegie Mellon University |
Let's Get Moving: Modeling and Simulation of Active Matter from the Pico-Scale to the Pedestrian-Scale |
| 06 December 2021 |
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Juliana Morbec University of Keele |
Exploring surfaces and interfaces with first-principles quantum mechanical simulations |
| 29 November 2021 |
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Brendan Spillane University of Warwick |
Software, IP and Warwick Innovations |
| 23 November 2021 |
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Rebecca Nichols University of Oxford |
Enabling functional materials with microscopy and modelling |
| 22 November 2021 |
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Michele Ceriotti Ecole Polytechnique Federale de Lausanne |
Keynote seminar: Atomistic simulations in the age of machine learning |
| 15 November 2021 |
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Ryosuke Jinnouchi Toyota Central R&D Labs |
On-the-fly machine-learned inter-atomic potentials: method and applications |
| 08 November 2021 |
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Jörg Schröder Universität Duisburg-Essen |
Characterization of magneto-electric composites: An algorithmic scale-bridging scheme |
| 01 November 2021 |
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Sam Magorrian University of Warwick |
Moiré superlattice effects in twisted bilayers of 2D semiconductors |
| 25 October 2021 |
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University of Oxford |
Exploring reactions mechanisms through automation and machine learning |
| 18 October 2021 |
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Queen Mary University London |
Sustainably synthesised metal-organic frameworks for sustainability applications |
| 11 October 2021 |
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Fordham University |
Scientific opportunities of automating materials synthesis: a case study of hybrid organic-inorganic hybrid perovskites |
| 04 October 2021 |
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Aix Marseilles University |
Nonadiabatic dynamics in the long timescale: the next challenge in computational photochemistry |
Past Seminars (2020/21)
For previous speakers please click here.
|
Date |
Speaker | Presentation | |
| 21 June 2021 |  |
Monica Riva |
Flow and transport: the role of Sub-Gaussian features in porous systems |
| 14 June 2021 |  |
Professor Pablo Debenedetti |
The Phase Behaviour of Supercooled Water: A Computational Perspective |
| 7 June 2021 |  |
ETH Zürich |
Combining Machine Learning and Molecular Dynamics Simulations |
| 24 May 2021 |  |
University of Warwick |
Deep Learning for Excited States of Molecules: Efficient Prediction of Orbital Energies and Photoemission Spectra |
| 17 May 2021 |  |
IPPT Pan |
Diffuse interface modelling of microstructures and propagating instabilities in shape memory alloys |
| 10 May 2021 |  |
University of Nottingham |
TexGen - Open-Source Software for Geometric Modelling of Textile Structures |
| 26 Apr 2021 |  |
Loughborough University |
New Analysis Tools for Electronic Structure Computations: From Numbers to Chemical Insight |
| 25 Mar 2021 |  |
King's College London / London Thomas Young Centre for the Theory and Simulation of Materials |
From Green Tea to Snow Crystals: Understanding Complex Systems with the Aid of Supercomputers |
| 8 Mar 2021 |  |
Celine Merlet |
Combining NMR, DFT calculations and mesoscopic models to improve our understanding of supercapacitors |
| 1 Mar 2021 |  |
Stefan Klus |
Data-driven analysis of complex dynamical systems |
| 22 Feb 2021 |  |
University of Nottingham |
A high-throughput computational screening of porous materials for biogas purification |
| 15 Feb 2021 |  |
University of Technology, Eindhoven |
The mechanical behaviour of tungsten under irradiation and heat loads |
| 8 Feb 2021 |  |
University of Manchester |
Modelling insights into coatings for corrosion protection |
| 1 Feb 2021 |  |
Vikram Deshpande |
Micro-architected solids: does toughness characterise fracture? |
| 25 Jan 2021 |  |
Zhen Li |
From deformation potential extraction to thermoelectric transport simulations: |
| 18 Jan 2021 |  |
University of Warwick |
Stochastic activation and bistability in a biological regulatory network |
| 8 Dec 2020 |
|
Bora Karasulu University of Warwick |
First-Principles Modelling of All Solid-State Battery (ASSB) Materials Abstract |
| 30 Nov 2020 |
|
University of Birmingham |
Peculiar solute diffusion mechanisms in hcp-Ti Abstract |
|
16 Nov 2020 |
 |
Forschungszentrum Jülich |
Effects of in vivo conditions on amyloid-βaggregation: computational approaches Abstract |
| 9 Nov 2020 |
|
Cardiff |
Multiscale atomistic modelling applied to materials design and heterogeneous catalysis |
| 2 Nov 2020 |
|
CNAM |
Propagating plastic instabilities in planar architectured materials |
| 26 Oct 2020 |
|
University of Warwick |
Towards Simulated Absorbtion Spectra and Energy Transfer in Molecule-Inorganic Systems |
| 19 Oct 2020 |
|
University of Southampton |
Ubermag: Interactive micromagnetic simulations in Jupyter |
| 12 Oct 2020 |
|
University of Warwick |
Dislocation distributions at finite temperature |
| 5 Oct 2020 |  |
University of Warwick |
Feedback control of falling liquid films using a hierarchical model approach |
Past Seminars (2019/20)
| Date | Speaker | Presentation | |
| 15 June 2020 |  |
University of Warwick |
Quantum interference in molecular scale junctions |
| 08 June 2020 |  |
Harvard University
|
"Learning machine learned potentials on the fly" |
| 01 June 2020 |  |
School of Mathematical Sciences, |
Multiscale modelling of flow- induced crystallisation in polymers |
| 18 May 2020 |  |
Oxford University |
Micromechanical modelling of near-ideal polymer networks |
| 11 May 2020 |  |
King's College London |
Variational coarse-graining and Mean First Passage Times in Markov State Models |
| 4 May 2020 |  |
University of Warwick |
Machine Learning Augmented Density Functional Tight Binding Theory |
| 9 March 2020 |  |
Cambridge |
Ab initio thermodynamics with the help of machine learning |
| 2 March 2020 |  |
University of Warwick |
Critical train speeds for high-speed rail embankment and embankment reinforcement |
| 24 Feb 2020 |  |
Cambridge University |
Random Search for Interface Structure Prediction – Computational Discovery Going Beyond Crystals |
| 17 Feb 2020 |  |
University of Warwick
|
Warwick Ventures, the Technology Transfer Office of the University of Warwick |
| 10 Feb 2020 |  |
Julien YVONNET
|
Modelling damage in strongly heterogeneous materials with phase field: construction of meso models and topology optimization |
| 3 Feb 2020 |  |
NVIDIA |
Latest Performance Enhancements to Gromacs on Single and Multiple GPUs |
| 27 Jan 2020 |  |
Bristol University |
Entos: quantum simulation software for industrial challenges |
| 20 Jan 2020 |  |
UK Atomic Energy Authority, |
Microscopic Models for Macroscopic Effects of Irradiation |
| 13 Jan 2020 |  |
Rutherford Appleton Laboratory, STFC |
The Role of Computer Simulations in Large Scale Experiments: |
| 2 Dec 2019 |  |
University College London |
Modelling dynamics and thermodynamics of conformational transitions during |
| 25 Nov 2019 |
University of Warwick |
Computational approaches to study membrane proteins structures |
|
| 18 Nov 2019 |  |
The University of Manchester |
Course-grained modelling of complex systems: from molecular fluids to |
| 11 Nov 2019 |  |
Department of Chemistry |
A Dichotomy: Opposing partial charge representations for ionic liquids |
| 4 Nov 2019 |  |
CERMICS |
Self-consistency in density functional theory |
| 28 Oct 2019 |  |
ICAMS |
Extended timescales simulations of structural phase transformations in materials |
| 21 Oct 2019 |  |
Mathematics Institute |
Making a splash: designing a new framework for water collection efficiency |
| 14 Oct 2019 |
|
School of Engineering |
Quantum and phonon interference enhanced molecular-scale thermoelectricity |
| 7 Oct 2019 |
|
Department of Physics & School of Engineering |
Learning atomic and electronic interactions from microscopic observables |
| 30 Sept 2019 |
|
Institute for Solid State Physics |
Rational Design of Hybrid Interfaces For Organic Electronics |
Past Seminars (2018/19)
| Date | Speaker | Presentation | |
| 24 June 2019 |
|
Theory & Simulation of Condensed Matter Group, Physics, King's College London |
Size and shape dependence of activity of metallic nanoparticles
|
| 17 June 2019 |  |
School of Computing, University of Leeds |
Interactive visualization for the design, prototyping and development of research software
|
| 10 June 2019 |
|
College of Engineering, Swansea University |
Mechanics of geometrically disordered cellular materials
|
| 03 June 2019 |
|
Department of Psychology, University of Warwick |
A Bayesian and Frequentist Multiverse Pipeline for Multinomial Processing Tree Models – Applications to Recognition Memory
|
| 20 May 2019 |
|
Institute for Future Transport and Cities, |
Atomic Scale Modelling of Diffusion in Energy Materials
|
| 13 May 2019 | |
Mathematics Institute, University of Warwick |
Physics+data-driven interatomic potentials based on permutation-invariant polynomials
|
| 29 April 2019 |
|
University of Leeds |
Atomistic spin dynamics with a quantum thermostat
|
| 11 March 2019 |
|
Fritz-Haber Institute, Berlin |
Nuclear quantum effects in weakly bonded systems
|
| 4 March 2019 |
|
Warwick Medical School |
The light microscopy imaging pipeline at Warwick Medical School
|
| 25 Feb 2019 |
|
Institute for Risk and Uncertainty, Liverpool |
Connections between Rare-Event Simulation and Bayesian Inference
|
| 18 Feb 2019 |
|
John Huber – University of Oxford, Department of Engineering Science. Ananya Renuka Balakrishna – University of Minnesota, Department of Aerospace Engineering and Mechanics |
Phase field methods for simulating ferroelectrics and other materials
|
 |
|||
| 11 Feb 2019 |  |
CEA Saclay, France |
Free energy landscape of point defects in body centered cubic metals |
| 4 Feb 2019 |
|
Warwick Manufacturing Group |
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations
|
| 28 Jan 2019 |
|
Babraham Institute, Cambridge |
Modelling of Chromosome Structure and Function
|
| 21 Jan 2019 |
|
Warwick Mathematics Institute / Turing Institute |
Predicting risk of hospital admission and readmission of Scottish population; Measuring Sample Quality with diffusions
|
| 14 Jan 2019 | |
Elementary Particle Physics Group, Warwick Physics |
Reconstruction of neutrino-induced events in Liquid-Argon Time-Projection Chamber (LArTPC) Detectors
|
| 3 Dec 2018 |
|
Institute for the Physics of Living Systems, University College London |
Minimal coarse-grained models for biological assembly
|
| 26 Nov 2018 |
|
School of Engineering, University of Warwick |
Stochastic Simulation of Reaction-Diffusion Systems
|
| 19 Nov 2018 |
|
Faculty of Engineering, Department of Materials, Imperial College |
Simulating charged defects in 2d materials: how we taught electronic screening to machines
|
| 12 Nov 2018 |
|
Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick |
Modifying the bandstructure of half-Heuslers to improve their thermoelectric power factor
|
| 05 Nov 2018 |
|
Faculty Research Centre in Flow Measurement and Fluid Mechanics, Coventry University |
Monte Carlo methods for massively parallel architectures
|
| 29 Oct 2018 |
|
Warwick Centre for Predictive Modelling, University of Warwick |
Electron-spin mediated distortion in metallic systems
|
| 15 Oct 2018 |
|
Warwick Centre for Predictive Modelling, University of Warwick |
First principles design of new multiferroic materials
|
| 08 Oct 2018 | |
Andrew Davis UK Atomic Energy Authority, Culham Centre for Fusion Energy, Abingdon |
High Performance and CAD based Radiation Transport
|
Past Seminars (2017/18)
| Date | Speaker | Presentation | |
| 25 June 2018 |
|
School of Mathematics and Physics |
Variations on kernel density estimation |
| 18 June 2018 |
|
Department of Mathematical Sciences |
A performance portable framework for molecular simulations |
| 11 June 2018 |
|
Physics Department |
A predilection for precise prediction: trying to model materials reliably |
|
21 May 2018 |
|
School of Biological and Chemical Sciences, Queen Mary University of London (QMUL) |
Modelling aggregation-induced emission in organic crystals |
| 16 May 2018 |
|
University of Texas at Austin |
Correlating structure and function for nanoparticle catalysts Abstract Slides |
| 30 Apr 2018 |
|
Chemical and Process Engineering |
Multiscale modelling of surfaces and interfaces |
| 30 Apr 2018 |
|
Warwick Mathematics Institute |
Predicting Rare Events via Large Deviations Theory: Rogue Waves and Motile Bacteria Abstract Slides |
| 12 Mar 2018 |
|
Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick |
Large-scale real-space electronic structure calculations Abstract Slides |
| 05 Mar 2018 |
|
Department of Statistics, University of Oxford |
Biologically inspired de novo protein structure prediction Abstract Slides |
| 26 Feb 2018 |
|
Mechanical Engineering, University of Michigan, Ann Arbor, USA |
Large-scale real-space electronic structure calculations Abstract Slides |
| 19 Feb 2018 |
|
Tribology and Wear, Fraunhofer IWM, Freiburg |
Tribology of diamond and silicon: atomic-scale insights from computers simulations Abstract Slides |
| 12 Feb 2018 |
|
Department of Aeronautics, Faculty of Engineering, Imperial College London |
Uncertainty Quantification and Aircraft Engines Abstract Slides |
| 05 Feb 2018 |
|
Department of Physics and Astronomy, University of Sheffield |
Unusual Dynamic Processes in Polymer Nanocomposites Abstract Slides |
| 29 Jan 2018 |
|
Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick |
Transport in two-dimensional materials Abstract Slides |
| 22 Jan 2018 |
|
Met Office |
Modelling clouds for weather, climate and beyond… Abstract Slides |
| 15 Jan 2018 |
|
Faculty of Engineering, University of Bristol |
Multi-scale cellular automata finite element (CAFE) framework for fracture in heterogeneous materials: to exascale via coarrays/MPI hybrid programming Abstract Slides |
| 4 Dec 2017 |  |
Ben Chapman |
Ion cyclotron emission as a diagnostic of the time evolution |
 |
Demetris Marnerides WCPM/WMG |
Deep Learning for the High Dynamic Range Imaging Pipeline |
|
| 27 Nov 2017 |  |
Magnus Richardson Zeeman Mathematical Biology Institute, Warwick |
Neurons, Synapses and neuromodulators |
| 23 Nov 2017 |
|
Bálint Aradi |
DFTB+, the fast way of doing quantum mechanics Abstract Slides |
| 06 Nov 2017 |  |
Felix Hofmann Department of Engineering Science University of Oxford |
Atomic Scale Defects: Probing Structure and Function Abstract Slides |
| 30 Oct 2017 |  |
Laura Ratcliff, Imperial College |
Upscaling DFT Capabilities for the Many Thousand Atoms Regime |
|
Jolyon Aarons, Warwick Physics |
Metallic DFT On Nanoparticles with Thousands of Atoms |
|
 |
Luigi Genovese, L_Sim, CEA Grenoble |
Opportunities from Accurate and Efficient Density Functional Theory |
|
| 23 Oct 2017 |  |
Juergen Branke Warwick Business School |
|
| 16 Oct 2017 |  |
Reinhard Maurer Department of Chemistry, University of Warwick |
Controlled Self-Assembly, Switching, and Catalysis: |
| 9 Oct 2017 |  |
Gabriele Sosso Department of Chemistry, Unviersity of Warwick |
Predicting Crystal Nucleation Rates via Atomistic Simulations: The Case of Ice Nucleation Abstract Slides |
Past Seminars (WCPM & CSC, 2016/17)
| Date | Speaker | Presentation | |
| 26 June 2017 |
|
WCPM & School of Engineering, University of Warwick |
Modular Bayesian uncertainty assessment for structural health monitoring
|
|
|
WCPM & School of Engineering, University of Warwick |
Quantum transport simulations for understanding the thermoelectric effect in nanocomposites
|
|
| 19 June 2017 |
|
Research Software Engineering, University of Sheffield |
Bad software and how it's ruining your research
|
| 12 June 2017 |
|
Mathematics Institute and Center for Complexity Science, University of Warwick |
Oscillatory kinetics in cluster-cluster aggregation
|
| 05 June 2017 |
|
Department of Chemistry, University of Memphis |
The role of transition metals in the structure and reactivity of astrochemicals
|
| 22 May 2017 |
|
Engineering and Materials Science, Queen Mary University of London |
Cracking me softly – the mechanics of hyperelastic Kirigami structures
|
| 15 May 2017 |
|
Physical Sciences, University of Kent |
First principles design of new multiferroic materials
|
| 13 Mar 2017 |
|
Warwick Life Sciences |
Design principles of cellular systems from evolutionary and systems dynamics perspectives |
| 6 Mar 2017 |
|
Reading Chemistry |
Computational thermodynamics: how to calculate phase diagrams without the fuss |
| 27 Feb 2017 |
|
Karlsruhe Institute of Technology |
Contact and cavitation: Computer models for tribological processes |
| 20 Feb 2017 |
|
Warwick Physics |
The dynamics and flexibility of biomedically important proteins: a combined computational/experimental approach to tackle antimicrobial resistance (AMR)
|
| 13 Feb 2017 |
|
Warwick Maths / WMG |
Computational and mathematical modelling of acoustic linears in aircraft engines
|
| 6 Feb 2017 |
|
Head of Research Software Development, UCL |
Computational Science As A Service: A new institutional model for research software engineering
|
| 30 Jan 2017 |
|
University of Bristol |
What is good research software, how can it be engineered, and is it deliverable within the constraints of academic projects?
|
| 23 Jan 2017 |
|
Connected Systems Research Group, School of Engineering, Warwick |
Exploring the Potential for FPGA Scientific Computing Research at Warwick
|
| 16 Jan 2017 |
|
James Elliot |
Interfacial barriers to thermal transport in carbon nanomaterials and polymer-nanotube composites: a molecular modelling study
|
| 5 Dec 2016 |
|
Christopher Robertson |
Diabatization strategies for non-adiabatic dynamics: photodissociation of acetylene and NO/Au 3 scattering
Abstract  |
| 28 Nov 2016 |
|
Ali Raeini |
|
| 21 Nov 2016 |
|
David Packwood |
|
| 14 Nov 2016 |
|
Steve Fitzgerald |
|
| 07 Nov 2016 |
|
Mikhail Poluektov |
|
| 31 Oct 2016 |
|
Paola Carbone |
|
| 24 Oct 2016 |
|
David Quigley |
|
| 17 Oct 2016 |  |
Tom Hudson Mathematics Institute, University of Warwick |
|
Past Seminars 2015/2016
| Date | Speaker | Presentation | |
| 31 May 2016 |  |
Ben Graham Department of Statistics, University of Warwick |
|
| 24 May 2016 |   |
Duncan Lockerby School of Engineering, University of Warwick David Stephenson School of Engineering, University of Warwick |
Accelerating a multiscale continuum-particle fluid dynamics model
with on-the-fly machine learning
|
| 17 May 2016 |
 |
Gareth Conduit
Department of Physics, University of Cambridge |
|
| 10 May 2016 |
 |
Torgyn Shaikhina
School of Engineering, University of Warwick |
Machine Learning for predictive modelling based on small biomedical and clinical data
Abstract (PDF), Slides (PDF) |
| 3 May 2016 |
 |
Department of Statistics, University of Warwick
|
Bayesian inference and model selection for stochastic
epidemics and other coupled hidden Markov models
(with special attention to epidemics of
|
| 26 Apr 2016 |
 |
Ariel Lozano
Basque Centre for Applied Mathematics |
Bond-selective chemical reactivity from first principles:
|
| 8 Mar 2016 |
 |
Judith Rommel
Department of Chemistry, University of Cambridge |
Predictive Multi-scale Modelling - an Interdisciplinary
Perspective and the Case of Density Embedding Methods
|
| 1 Mar 2016 |
 |
Department of Physics, University of Warwick
|
Quantum Engineering for electrons and spins
|
| 16 Feb 2016 |
 |
Igor Khovanov
School of Engineering, University of Warwick |
Dynamics of Large Fluctuations: from Chaotic Attractors to Ion Channels |
| 9 Feb 2016 |
 |
Department of Computer Science,
University of Warwick
|
Image clustering based on camera fingerprints |
| 2 Feb 2016 |  |
Scott Habershon Department of Chemistry, University of Warwick |
Progress and perils in predictive computational catalysis Abstract (PDF) |
| 26 Jan 2016 |
 |
Charles Gadd
Warwick Centre for Predictive Modelling, University of Warwick |
Uncertainty Quantification with Gaussian Process Latent
Variable Models |
| 19 Jan 2016 |
 |
Warwick Centre for Predictive Modelling,
University of Warwick |
Uncertainty Quantification Using Deep Gaussian Processes
and Variational Bayesian inference
|
| 8 Dec 2015 |
 |
School of Mathematical Sciences, University of Nottingham
|
Novel stochastic thermostats for rigid body dynamics
|
| 26 Nov 2015 |
 |
Technische Universität München |
Predictive Coarse-Graining Abstract (PDF), Slides (PDF) |
| 17 Nov 2015 |
 |
Department of Physics, University of Cambridge
|
Computational Materials Discovery meets Experiment Abstract (PDF) |
| 10 Nov 2015 |
|
Savvas Triantafyllou |
Towards a multiscale framework for robust simulation of inelastic dynamic processes Abstract (PDF), Slides (PDF) |
| 3 Nov 2015 |
|
Keith Refson |
Reliable Knowledge: How far can we trust electronic structure simulations? Abstract (PDF) |
| 27 Oct 2015 |
|
Manuel Aldegunde |
Exchange-Correlation Functional with Uncertainty
Quantification Capabilities for Density Functional Theory |
| 20 Oct 2015 |
|
Vahid Niasar |
Pore-scale analysis of dynamics of two-phase flow
in porous media |
| 13 Oct 2015 |
|
Stela Makri |
Dimensionality Reduction Methods in Predictive Modelling |
| 13 Oct 2015 |
|
Louis Ellam |
Approximate Bayesian Inference for Machine Learning |
| 6 Oct 2015 |
|
Matteo Icardi |
On the predictive capabilities of multiphase Darcy flow |
Past Seminars 2014/2015
| Date | Speaker | Presentation | |
| 25 Jun 2015 |
|
Nicholas Hine |
Excited state calculations and theoretical spectroscopy of complex nanomaterials using Linear-Scaling Density Functional Theory Abstract (PDF), Slides (PDF) |
| 18 Jun 2015 |
|
Andrew Stuart |
Probabilistic Numerical Methods for Deterministic Differential Equations Abstract (PDF), Slides (PDF) |
| 11 Jun 2015 |
|
Gábor Csányi |
Applying machine learning to quantum mechanics Abstract (PDF), Slides (PDF) |
| 4 Jun 2015 |
|
Shiwei Lan |
Sampling constrained probability distributions using Spherical Augmentation Abstract (PDF), Slides (PDF) |
| 28 May 2015 |
|
Łukasz Figiel |
Computational modelling for performance improvement of polymer nanocomposites Abstract (PDF), Slides (PDF) |
| 15 May 2015 |
|
Peter Brommer |
Uncertainties in classical effective potentials: sources and quantification strategies Abstract (PDF), Slides (PDF) |
| 7 May 2015 |
|
Mark Rodger |
Predictive Modelling: a view from the atomic level Abstract (PDF), Slides (PDF, PPTX) |
| 30 Apr 2015 |
|
David Quigley |
Modelling crystal nucleation and growth Abstract (PDF), Slides (PDF, PPTX) |
| 23 Apr 2015 |
|
Claudia Schillings |
Scaling Limits in Computational Bayesian Inversion Abstract (PDF), Slides (PDF) |
| 12 Mar 2015 |
|
Julie Staunton |
Density functional theory and slowly varying fluctuations at finite temperature to describe alloy and magnetic phase diagrams Abstract (PDF), Slides (PDF) |
| 5 Mar 2015 |
|
James Kermode |
Molecular Dynamics with on-the-fly Machine Learning of Quantum |
| 26 Feb 2015 |
|
Mark Girolami |
Differential Geometric MCMC Methods |
| 19 Feb 2015 |
|
Akeel Shah |
Efficient emulation of high-dimensional outputs using manifold |
| 12 Feb 2015 |
|
Neophytos Neophytou |
Electronic, thermal, and thermoelectric transport in nanostructures |
| 5 Feb 2015 |
|
Aretha Teckentrup |
Quasi- and Multilevel Monte Carlo Methods for Bayesian Inverse |
| 29 Jan 2015 |
|
Charo del Genio |
Constructing and sampling graphs with specified joint-degree matrix |
| 22 Jan 2015 |
|
Alfonso Jaramillo |
Predictive Modelling of Riboregulatory Circuits to Re-engineer Living Cells |
| 15 Jan 2015 |  |
Tim Sullivan |
Consistency, Robustness, and Brittleness of Bayesian Inference |
| 8 Jan 2015 |  |
Jesper Kristensen Applied and Engineering Physics, Cornell University, Ithaca NY |
Uncertainty Quantfication with Surrogate Models in Alloy Modelling |
