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WCPM hosts regular seminars where we invite speakers working both in fundamental methodology and on applications of predictive modelling and UQ.

From October 2016, the seminars are on Mondays, 1pm and joint with the Centre for Scientific Computing, with a focus on all aspects of research involving significant computational resource. Venues are alternating between PS0.17a (Physical Sciences) and D2.02 (Engineering), and a sandwich lunch is available from 12:45pm.

If you would like to be kept informed of upcoming seminars, please do sign up here or send an email to wcpm-seminar-join at listserv dot csv dot warwick dot ac dot uk.

Past presentations are available below.

Upcoming Seminars

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Mon, Jan 22, '18
1pm - 2pm
Ian Boutle (Met Office)
Physical Sciences (PS0.17)

Modelling clouds for weather, climate and beyond…

The Met Office runs a plethora of computer models on high performance supercomputers, aimed at predicting everything from highly localised weather events in the next few hours, to the mean state of the climate in hundreds of years time. This talk will give a brief overview of how the physical model of the atmosphere is constructed, before discussing some recent advances enabled by the latest supercomputer technology. These include very high resolution forecasts of the Greater London area, to assist with air-traffic planning at Heathrow airport, and the development of our next generation earth-system model to feed into the next Intergovernmental Panel on Climate Change report. Finally, we will discuss how the model is also being adapted to model planetary atmospheres beyond our solar system.

Mon, Jan 29, '18
1pm - 2pm
Vasileios Vargiamidis (Warwick Engineering)
WCPM (D2.02)

Transport in two-dimensional materials

It’s been a little more than a decade that two-dimensional (2D) materials have attracted the attention of a substantial body of scientists in the fields of physics, materials science, chemistry, and electrical engineering. A prototypical example of such a 2D system is graphene with its Dirac Fermions, but a zoo of 2D materials gradually emerge (such as, silicene, phosphorene, MoS2, etc), showing unusual and fascinating physical properties as well as potential for advanced technological applications in nanoelectronics, optics, sensing, energy harvesting, etc.

I will present some of my previous work on the field, focusing on silicene. This material has Dirac cones which are similar to those of graphene. However, contrary to graphene, silicene has strong intrinsic spin-orbit interaction (SOI) which together with its buckled structure leads to a gap approximately 1.55meV wide. I will discuss how the band gap can be controlled with the application of an external elric field Ez perpendicular to the silicene plane, and how the conductance can be controlled by gating, which can be used to realize electric-field-controlled switching. I will also show how the interplay of silicene’s strong SOI and the field Ez give rise to topological phase transitions. Finally, I discuss potential applications of silicene and 2D materials in general, and the need for large scale simulations to accompany the designs.

Mon, Feb 5, '18
1pm - 2pm
Nigel Clarke (Sheffield)
Physical Sciences (PS0.17)

Unusual dynamic processes in polymer nanocomposites

With nanoparticles being increasingly used as additives to polymers to impart enhanced mechanical and functional properties, we aim to develop an understanding of how polymer nanocomposite processing by exploring how nanoparticles impact on polymer dynamics. In high molecular weight polymer melts, chain diffusion is well described by the reptation model. Motion proceeds as a snake-like diffusion of the chain as a whole, along the contour of a tube that mimics the role of physical entanglements, or topological constraints, with other chains. In polymer nanocomposites, there are additional constraints due to the dispersed nanoparticles in the polymer matrix. Chain motion can be altered by nanoparticle size, shape , aspect ratio, surface area, loading and the nature of the interactions between the nanoparticles and the polymer matrix. As a consequence, unusual phenomena are associated with the dynamics of nanocomposites, For example, we have observed a minimum in the diffusion coefficient as a function of nanoparticle concentration when the nanoparticles are rod-like and a collapse of the diffusion coefficient onto a master curve when the nanoparticles are spherical. We are simulating the dynamics using molecular and dissipative particle simulations in order to provide physical insight into the local structure and dynamics, and have also carried out highly coarse grained Monte Carlo simulations of entangled polymers to explore how reptation is affected by the presence of larger scale obstacles.

Mon, Feb 12, '18
1pm - 2pm
Francesco Montomoli (Imperial)
WCPM (D2.02)

Uncertainty Quantification in Aviation, Using Non-Intrusive Polynomial Chaos Methods

Mon, Feb 19, '18
1pm - 2pm
Gianpietro Moras (Fraunhofer IWM)
Physical Sciences (PS0.17)

Tribology of diamond and silicon: atomic-scale insights from computers simulations

Tribological processes involving diamond and silicon are very common in technology. Chemical-mechanical polishing of diamond films and their ultralow friction in presence of water, wear of diamond-coated cutting tools, multi-wire sawing of silicon for photovoltaic applications, wear of MEMS and atomic force microscopy tips are just a few examples. In all these processes, friction and wear are strongly influenced by material transformations that are not fully understood as they occur at buried interfaces and are hardly accessible by in situ experiments.

In this seminar I will present the results of atomic-scale computer simulations that contribute to shed light on the tribological evolution of these two crystals. Interestingly, in spite of their common crystal structure and brittle behaviour, diamond and silicon can respond in completely different ways to tribological loads. First, I will show how both diamond and silicon can undergo shear-induced amorphization. The pressure-dependence of the amorphization rates is however opposite in the two materials. This is due to the opposite volume change upon shear-induced amorphization: carbon expands while silicon becomes denser. This can be related to the opposite slopes of the melting curves of diamond and diamond cubic silicon in their pressure-temperature phase diagram. Finally, I will present atomic-scale mechanisms for ultralow friction in water-lubricated diamond. It is known that water dissociative chemisorption can lead to surface passivation and low friction in both diamond and silicon. Our simulations show that water can also induce aromatic surface reconstructions that are responsible for ultralow friction in diamond and diamond-like carbon.

Mon, Feb 26, '18
1pm - 2pm
Vikram Gavini (Michigan)
WCPM (D2.02)

Large-scale real-space electronic structure calculations

In this talk, the development of a real-space formulation for Kohn-Sham density functional theory (DFT) and a finite-element discretization of this formulation [1,2], which can handle arbitrary boundary conditions and is amenable to adaptive coarse-graining, will be presented. In particular, the accuracy afforded by using higher-order and enriched finite-element discretizations, and the efficiency and scalability of the Chebyshev filtering algorithm in pseudopotential and all-electron Kohn-Sham DFT calculations will be demonstrated. Further, the development of a subquadratic-scaling approach (in the number of electrons) based on a subspace projection and Fermi-operator expansion will be discussed [3], which will be the basis for the future development of coarse-graining techniques for Kohn-Sham DFT. The developed techniques have enabled, to date, pseudopotential calculations on ~10,000 atoms, as well as all-electron calculations on systems containing ~10,000 electrons.

  • [1] P. Motamarri, M.R. Nowak, K. Leiter, J. Knap, V. Gavini, Higher-order adaptive finite-element methods for Kohn-Sham density functional theory, J. Comp. Phys. 253, 308-343 (2013).
  • [2] B. Kanungo, V. Gavini, Large-scale all-electron density functional theory calculations using an enriched finite element basis, Phys. Rev. B 95, 035112 (2017).
  • [3] P. Motamarri, V. Gavini, A subquadratic-scaling subspace projection method for large-scale Kohn-Sham DFT calculations using spectral finite-element discretization, Phys. Rev. B 90, 115127 (2014).
Mon, Mar 5, '18
1pm - 2pm
Charlotte Deane (Oxford)
Physical Sciences (PS0.17)

Biologically inspired de novo protein structure prediction

Protein structures can elucidate functional understanding, explain disease mechanisms and inform drug design. However, experimental structure determination is costly, and technically difficult. However, while the three-dimensional structure of proteins is difficult to obtain amino acid sequences are easily available and far outnumber solved structures. There are two main methods for protein structure prediction template based and de novo. Current de novo protein structure prediction methods are heuristics limited by the enormous search space, with successful prediction largely restricted to small, single domain proteins.
The three key components of most de novo methods for protein structure prediction are the fragment library, the “energy” function and the search method. In this talk I will give an overview of my groups work on improving each of these stages. Firstly, describing the development of a novel fragment library Flib that uses predicted secondary structure to determine library generation strategy [1]. Secondly, giving a comparison of the different co-evolution contact predictors in terms of their ability to improve protein structure prediction [2]. Finally demonstrating how sequential prediction approaches using SAINT2 can improve both search heuristics and final model quality [3].

  • [1] Saulo H P de Oliveira, Jiye Shi, Charlotte M Deane, Building a better fragment library for de novo protein structure prediction, Plos One, 2015, 10(4), e0123998
  • [2] Saulo H P de Oliveira, Jiye Shi, Charlotte M Deane, Comparing co-evolution methods and their application to template-free protein structure prediction, Bioinformatics, 2017; 33 (3): 373-381.
  • [3] Saulo H P de Oliveira, Eleanor C. Law, Jiye Shi, Charlotte M. Deane, Sequential search leads to faster, more efficient fragment-based de novo protein structure prediction, Bioinformatics, 2017, btx722
Mon, Mar 12, '18
1pm - 2pm
Laura de Sousa Oliveira (Warwick Engineering)
WCPM (D2.02)

Phonon thermal transport in advanced materials

Past Seminars (2017/18)


Date Speaker Presentation
15 Jan 2018

Anton ShterenlikhtAnton Shterenlikht

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
CFSA, Warwick

Demetris Marnerides

Ion cyclotron emission as a diagnostic of the time evolution
of edge density during ELM crashes in KSTAR plasmas

Deep Learning for the High Dynamic Range Imaging Pipeline


27 Nov 2017 Magnus RichardsonMagnus Richardson
Zeeman Mathematical Biology Institute, Warwick

Neurons, Synapses and neuromodulators

23 Nov 2017

Balint AradiBálint Aradi
Bremen Centre for Computational
Materials Science

DFTB+, the fast way of doing quantum mechanics
Abstract Slides  
06 Nov 2017 Felix HofmannFelix Hofmann
Department of Engineering Science
University of Oxford
Atomic Scale Defects: Probing Structure and Function
Abstract Slides  
30 Oct 2017

Laura Ratcliff, Imperial College

Jolyon Aarons, Warwick Physics

Luigi Genovese, L_Sim, CEA Grenoble

Upscaling DFT Capabilities for the Many Thousand Atoms Regime
Abstract Slides  

Metallic DFT On Nanoparticles with Thousands of Atoms
Abstract Slides  

Opportunities from Accurate and Efficient Density Functional Theory
Calculations for Large Systems
Abstract Slides  

23 Oct 2017 Juergen BrankeJuergen Branke
Warwick Business School

Optimization and Design of Complex Systems
Abstract Slides

16 Oct 2017 Reinhard MaurerReinhard Maurer
Department of Chemistry,
University of Warwick

Controlled Self-Assembly, Switching, and Catalysis:
Ab-Initio Insights into Stimulated Chemistry on Surfaces
Abstract Slides

9 Oct 2017 Gabrielle SossoGabriele 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

André JesusAndré Jesus

WCPM & School of Engineering, University of Warwick

Modular Bayesian uncertainty assessment for structural health monitoring

Sam FosterSamuel Foster

WCPM & School of Engineering, University of Warwick

Quantum transport simulations for understanding the thermoelectric effect in nanocomposites
19 June 2017

Mike CroucherMike Croucher

Research Software Engineering, University of Sheffield

Bad software and how it's ruining your research
12 June 2017

Colm ConnaughtonColm Connaughton

Mathematics Institute and Center for Complexity Science, University of Warwick

Oscillatory kinetics in cluster-cluster aggregation
05 June 2017

Nathan DeYonkerNathan DeYonker

Department of Chemistry, University of Memphis

The role of transition metals in the structure and reactivity of astrochemicals
22 May 2017

Ettore BarbieriEttore Barbieri

Engineering and Materials Science, Queen Mary University of London

Cracking me softly – the mechanics of hyperelastic Kirigami structures
15 May 2017

Nicholas BristoweNicholas Bristowe

Physical Sciences, University of Kent

First principles design of new multiferroic materials
13 March 2017

Orkun SoyerOrkun Soyer

Warwick Life Sciences

Design principles of cellular systems from evolutionary and systems dynamics perspectives

Abstract(PDF Document)

6 March 2017

Livia Bartok PartayLivia Bartok-Partay

Reading Chemistry

Computational thermodynamics: how to calculate phase diagrams without the fuss

Abstract(PDF Document) Slides(PDF Document)

27 February 2017

pastewka.jpgLars Pastewka

Karlsruhe Institute of Technology

Contact and cavitation: Computer models for tribological processes

Abstract(PDF Document) Slides(PDF Document)

20 February 2017

Jasmine Desmond

Jasmine Desmond

Warwick Physics

The dynamics and flexibility of biomedically important proteins: a combined computational/experimental approach to tackle antimicrobial resistance (AMR)
13 February 2017

Ed Brambley

Ed Brambley

Warwick Maths / WMG

Computational and mathematical modelling of acoustic linears in aircraft engines
6 February 2017

James Hetherington James Hetherington

Head of Research Software Development, UCL

Computational Science As A Service: A new institutional model for research software engineering
30 January 2017

cwoods Christopher Woods

University of Bristol

What is good research software, how can it be engineered, and is it deliverable within the constraints of academic projects?
23 January 2017

sfahmy.jpgSuhaib Fahmy

Connected Systems Research Group, School of Engineering, Warwick

Exploring the Potential for FPGA Scientific Computing Research at Warwick
16 January 2017

James ElliotJames Elliot
Department of Materials Science, University of Cambridge

Interfacial barriers to thermal transport in carbon nanomaterials and polymer-nanotube composites: a molecular modelling study
5 December 2016

Christopher RobertsonChristopher Robertson
Department of Chemistry, University of Warwick

Diabatization strategies for non-adiabatic dynamics: photodissociation of acetylene and NO/Au 3 scattering
Abstract (PDF Document)
28 November 2016

Steve FitzgeraldAli Raeini
Department of Earth Science & Engineering, Imperial College, London

Generalized network modelling of two-phase flow
Abstract (PDF Document), Slides (PDF Document)
21 November 2016

David PackwooodDavid Packwood
Maxeler Technologies, London

Scientific Computing on Dataflow Engines
Abstract (PDF Document), Slides (PDF Document)
14 November 2016

Steve FitzgeraldSteve Fitzgerald
School of Mathematics, University of Leeds

Stochastic effects in mesoscale simulations
Abstract (PDF Document), Slides (PDF Document)
07 November 2016

Mikhail PoluektovMikhail Poluektov
International Institute for Nanocomposites Manufacturing, WMG, University of Warwick

Coupling atomistic and continuum modelling of magnetism
Abstract (PDF Document), Slides (PDF Document)
31 October 2016

Paola CarbonePaola Carbone
Chemical Engineering and Analytical Science, University of Manchester

Multiscale modelling of polymer aggregates
Abstract (PDF Document), Slides (PDF Document)
24 October 2016

wcpm_seminar_pictures_david_quigley.pngDavid Quigley
Director, Centre and RTP for Scientific Computing, University of Warwick

Scientific Computing at Warwick: Current facilities and developments
Abstract (PDF Document), Slides (PDF Document)
17 October 2016 Tom HudsonTom Hudson
Mathematics Institute, University of Warwick
Screw dislocation mobility: linking Monte Carlo models to Discrete Dislocation Dynamics
Abstract (PDF Document), Slides (PDF Document)

Past Seminars 2015/2016

Date Speaker Presentation
31st May 2016 wcpm_seminar_picture_benjamin_graham.jpgBen Graham
Department of Statistics, University of Warwick
Spatially Sparse Convolutional Neural networks
Abstract (PDF), Slides (PDF)
24th May 2016 wcpm_seminar_picture_duncan_lockerby.jpgwcpm_seminar_picture_david_stephenson.jpgDuncan Lockerby/David Stephenson
School of Engineering, University of Warwick
Accelerating a multiscale continuum-particle fluid dynamics model
with on-the-fly machine learning
Abstract (PDF), Slides (PDF): Part1 (DL) Part2 (DS)
17th May 2016
wcpm_seminar_picture_gareth_conduit.jpgGareth Conduit
Department of Physics, University of Cambridge
Materials discovery with artificial intelligence
Abstract (PDF), Slides (PDF)
10th May 2016
wcpm_seminar_picture_torgyn_shaikhina.jpgTorgyn Shaikhina
School of Engineering, University of Warwick
Machine Learning for predictive modelling based on small biomedical and clinical data
Abstract (PDF), Slides (PDF)
3rd 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
Escherichia coli O157:H7 in cattle)
Abstract (PDF), Slides (PDF)
26th Apr 2016
wcpm_seminar_picture_ariel_lozano.jpg Ariel Lozano
Basque Centre for Applied Mathematics
Bond-selective chemical reactivity from first principles:
methane on metallic surfaces
Abstract (PDF), Slides (PDF), Video
8th Mar 2016
wcpm_seminar_picture_judith_rommel.jpg Judith Rommel
Department of Chemistry, University of Cambridge
Predictive Multi-scale Modelling - an Interdisciplinary
Perspective and the Case of Density Embedding Methods
1st Mar 2016
Department of Physics, University of Warwick

Quantum Engineering for electrons and spins
16th Feb 2016
wcpm_seminar_picture_igor_khovanov.png Igor Khovanov
School of Engineering, University of Warwick

Dynamics of Large Fluctuations: from Chaotic Attractors to Ion Channels
Abstract (PDF), Slides (PDF)

9th Feb 2016
Department of Computer Science,
University of Warwick

Image clustering based on camera fingerprints
Abstract (PDF), Slides(PPT)

2nd Feb 2016 Scott HabershonScott Habershon
Department of Chemistry,
University of Warwick
Progress and perils in predictive computational catalysis
Abstract (PDF)
26th Jan 2016
wcpm_seminar_picture_charles_gadd.jpgCharles Gadd
Warwick Centre for Predictive Modelling,
University of Warwick
Uncertainty Quantification with Gaussian Process Latent

Variable Models
Abstract (PDF)

19th Jan 2016
Warwick Centre for Predictive Modelling,
University of Warwick
Uncertainty Quantification Using Deep Gaussian Processes
and Variational Bayesian inference
8th Dec 2015
School of Mathematical Sciences, University of Nottingham
Novel stochastic thermostats for rigid body dynamics
26th Nov 2015

Technische Universität München

Predictive Coarse-Graining
Abstract (PDF), Slides (PDF)
17th Nov 2015
Department of Physics, University of Cambridge
Computational Materials Discovery meets Experiment
Abstract (PDF)
10th Nov 2015

wcpm_seminar_picture_savvas_triantafyllou.jpgSavvas Triantafyllou
Faculty of Engineering, University of Nottingham

Towards a multiscale framework for robust simulation
of inelastic dynamic processes
Abstract (PDF), Slides (PDF)
3rd Nov 2015

wcpm_seminar_picture_keith_refson.jpgKeith Refson
Department of Physics, Royal Holloway

Reliable Knowledge: How far can we trust electronic structure simulations?
Abstract (PDF)
27th Oct 2015

wcpm_seminar_pictures_manuel_aldegunde.jpgManuel Aldegunde
Warwick Centre for Predictive Modelling,
University of Warwick

Exchange-Correlation Functional with Uncertainty

Quantification Capabilities for Density Functional Theory
Abstract (PDF), Slides (PDF)

20th Oct 2015

wcpm_seminar_pictures_vahid_niasar.jpgVahid Niasar
School of Chemical Engineering and Analytical Science, University of Manchester

Pore-scale analysis of dynamics of two-phase flow

in porous media
Abstract (PDF), Slides (PDF)

13th Oct 2015

wcpm_seminar_pictures_stela_makri.jpgStela Makri
Warwick Centre for Predictive Modelling,
University of Warwick

Dimensionality Reduction Methods in Predictive Modelling
Abstract (PDF), Slides (PDF)

13th Oct 2015

wcpm_seminar_pictures_louis_ellam.jpgLouis Ellam
Warwick Centre for Predictive Modelling,
University of Warwick

Approximate Bayesian Inference for Machine Learning
Abstract (PDF), Slides (PDF)

6th Oct 2015

wcpm_seminar_picture_matteo_icardi.jpgMatteo Icardi
Mathematics Institute, University of Warwick

On the predictive capabilities of multiphase Darcy flow
Abstract (PDF), Slides (PDF)

Past Seminars 2014/2015

Date Speaker Presentation
25th Jun 2015

wcpm_seminar_pictures_nicholas_hine.pngNicholas Hine
Department of Physics, University of Warwick

Excited state calculations and theoretical spectroscopy of complex
nanomaterials using Linear-Scaling Density Functional Theory
Abstract (PDF), Slides (PDF)
18th Jun 2015

wcpm_seminar_pictures_andrew_stuart.jpgAndrew Stuart
Mathematics Institute, University of Warwick

Probabilistic Numerical Methods for Deterministic Differential Equations
Abstract (PDF), Slides (PDF)
11th Jun 2015

wcpm_seminar_pictures_gabor_csanyi.jpgGábor Csányi
Engineering Laboratory, University of Cambridge

Applying machine learning to quantum mechanics
Abstract (PDF), Slides (PDF)
4th Jun 2015

wcpm_seminar_pictures_shiwei_lan.jpgShiwei Lan
Department of Statistics, University of Warwick

Sampling constrained probability distributions using Spherical Augmentation
Abstract (PDF), Slides (PDF)
28th May 2015

wcpm_seminar_pictures_lukasz_figiel.jpgŁukasz Figiel
International Institute for Nanocomposites
Manufacturing/WMG, University of Warwick

Computational modelling for performance improvement
of polymer nanocomposites
Abstract (PDF), Slides (PDF)
15th May 2015

wcpm_seminar_pictures_peter_brommer.jpgPeter Brommer
School of Engineering, University of Warwick

Uncertainties in classical effective potentials:
sources and quantification strategies
Abstract (PDF), Slides (PDF)
7th May 2015

wcpm_seminar_pictures_mark_rodger.jpgMark Rodger
Department of Chemistry & Centre
for Scientific Computing, University of Warwick

Predictive Modelling: a view from the atomic level
Abstract (PDF), Slides (PDF, PPTX)
30th Apr 2015

wcpm_seminar_pictures_david_quigley.pngDavid Quigley
Department of Physics, University of Warwick

Modelling crystal nucleation and growth
Abstract (PDF), Slides (PDF, PPTX)
23rd Apr 2015

wcpm_seminar_pictures_claudia_schillings.jpgClaudia Schillings
Mathematics Institute, University of Warwick

Scaling Limits in Computational Bayesian Inversion
Abstract (PDF), Slides (PDF)
12th Mar 2015

wcpm_seminar_pictures_julie_staunton.jpgJulie Staunton
Department of Physics, University of Warwick

Density functional theory and slowly varying fluctuations at finite
temperature to describe alloy and magnetic phase diagrams
Abstract (PDF), Slides (PDF)
5th Mar 2015

wcpm_seminar_pictures_james_kermode.jpgJames Kermode
School of Engineering, University of Warwick

Molecular Dynamics with on-the-fly Machine Learning of Quantum
Mechanical Forces
Abstract (PDF), Slides (PDF), WCPM Science Highlight

26th Feb 2015

wcpm_seminar_pictures_mark_girolami.jpgMark Girolami
Department of Statistics, University of Warwick

Differential Geometric MCMC Methods
Abstract (PDF), Slides (PDF)

19th Feb 2015

wcpm_seminar_pictures_akeel_shah.jpgAkeel Shah
School of Engineering, University of Warwick

Efficient emulation of high-dimensional outputs using manifold
learning: Theory and applications
Abstract (PDF), Slides (PDF)

12th Feb 2015

wcpm_seminar_pictures_neophytos_neophytou.jpgNeophytos Neophytou
School of Engineering, University of Warwick

Electronic, thermal, and thermoelectric transport in nanostructures
Abstract (PDF), Slides (PDF)

5th Feb 2015

wcpm_seminar_pictures_aretha_teckentrup.jpgAretha Teckentrup
Mathematics Institute, University of Warwick

Quasi- and Multilevel Monte Carlo Methods for Bayesian Inverse
Problems in Subsurface Flow
Abstract (PDF), Slides (PDF)

29th Jan 2015

wcpm_seminar_pictures_charo_del_genio.jpgCharo del Genio
Mathematics Institute, University of Warwick

Constructing and sampling graphs with specified joint-degree matrix
Abstract (PDF), Slides, 1st half (PDF)

22nd Jan 2015

wcpm_seminar_pictures_alfonso_jaramillo.jpgAlfonso Jaramillo
School of Life Sciences, University of Warwick

Predictive Modelling of Riboregulatory Circuits to Re-engineer Living Cells
Abstract (PDF), Slides (PDF)

15th Jan 2015

wcpm_seminar_pictures_tim_sullivan.pngTim Sullivan
Mathematics Institute, University of Warwick

Consistency, Robustness, and Brittleness of Bayesian Inference
Abstract (PDF), Slides (PDF)

8th Jan 2015 Jesper KristensenJesper Kristensen
Applied and Engineering Physics, Cornell University, Ithaca NY

Uncertainty Quantfication with Surrogate Models in Alloy Modelling
Abstract (PDF), Slides (PDF)

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