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HetSys: Students

HetSys I Grant number: EP/S022848/1

Cohort 1: 2019-2023 - see alumni section
Cohort 2: 2020-2024 - see alumni section
Cohort 3: 2021-2025
Cohort 4: 2022-2026
Cohort 5: 2023-2027

HetSys II Grant number: EP/Y035429/1

Cohort 6: 2024-2028
Cohort 7: Due to start in October 2026

  Student Cohort Project Title Area of Research

Chantal Baer

Chantal Baer 4 Hopping through the interfaces: a multiscale chemo-mechanic model for energy materials Continuum

Fraser Birks

Fraser Birks 4 How amorphous carbon breaks: atomistic models and machine learning Atomistic

Seb Dooley

Sebastian Dooley 4 Fundamental physics or data science? Why not both: a data-driven modelling framework for interfacial microflows Continuum

PLACEHOLDER

Joseph Duque-Lopez 4 Data-driven modelling of irradiation induced defects in fusion materials Atomistic

Jacob Eller

Jacob Eller 4 Applying machine learning to understand photoprotection: how do triazine-based UV-filters really work? Quantum

arielle fitkin

Arielle Fitkin 4 Harnessing Molecular Simulations to advance Electronics and Photovoltaics: design rules for the selective deposition of metals by novel condensation techniques Quantum

Vincent Fletcher

Vincent Fletcher 4 A Complete Thermodynamic Description of Alloys to Extreme Pressure and Temperature Atomistic

Anson Lee

Anson Lee 4 When the dust settles: predicting deposition of particulate and aerosols Continuum

Yu Lei

Yu Lei 4 Artificial Intelligence (AI)-enabled Cryogenic Electron Ptychography For Bio-macromolecule Imaging Quantum

Hubert N

Hubert Naguszewski 4 Memory matters: Beyond Markovian models of rare event kinetics Quantum

Mariia Radova

Mariia Radova 4 Optimising power grids and chemical reactions with graph neural networks Quantum
Zhara Bhatti
Zahra Bhatti 5 Charting a course towards new light-activated molecules Quantum
Matthew Christensen 5 Reliable quantum simulations of plasma and fusion physics Quantum
Yuji go
Yuji Go 5 Complex Electronic Structures for Thermoelectric Energy Materials Quantum
Philip Jones
Philip Jones 5 What's that made of? Modelling muonic X-ray radiation for quantitative elemental analysis Quantum
Nojus Plunge
Nojus PlungÄ— 5 Blending ultrasound data with physics-based models to predict damage in structural systems Continuum
Minerva Schuler
Minerva Schuler 5 Alternative protein sources: growing the next generation computational modelling framework Continuum
Roman Shantsila
Roman Shantsila 5 (Inter)facing the Bitter Truth: How to Design Better Interfaces in Next-Gen Batteries using Atomistic Simulations Assisted by Machine-Learning Atomistic
Yuhui Tong
Yihui Tong 5 Developing the capability to forecast extreme Space Weather events Continuum
Valdas Vitartas
Valdas Vitartas 5 Machine-learning quantum surrogate models to simulate energy transport across interfaces Quantum
YC Wong
YC Wong 5 Machine Learning Multiscale Simulation Of Photoconductivity In Correlated Oxides Quantum
David Bewicke
David Bewicke 6 Modelling magnetosphere-atmosphere interactions Continuum
Facundo Costa
Facundo Costa 6 Machine Learning Potentials for Strength Studies in Hexagonal Close Packed Materials Atomistic
Maks Diakiewicz
Maks Diakiewicz 6 Artificial Intelligence driven multi-physics phase field fracture simulations for composites Continuum
Luca Gasparro
Luca Gasparro 6 A Drug Delivery Challenge: Cracking the Code of Mass Transport in Disordered Systems Atomistic
James Gulliford
James Gulliford 6 Fast simulation algorithms for correlated dynamics in superconducting films and epidemic models Quantum
Swathi Mahashetti
Swathi Mahashetti 6 Unlocking Future Photovoltaics: the Effect of Interfaces on Ion Mobility in Perovskite Solar Cells Atomistic
George McKay
George McKay 6 Learning Collective Dynamics from Accelerated Quantum Jump Monte Carlo Quantum
Luca Seaford
Luca Seaford 6 Atomistic insight into nucleation and electrochemistry: Machine learning multiscale simulation Quantum
George Simmons
George Simmons 6 Better-conditioned Inverse Problems in Computational Materials Science Atomistic
Rumesh Sudhaharan
Rumesh Sudhaharan 6 Frozen In:Predicting Microstruture in Solidifying Droplets Continuum
Keyi Wei
Keyi Wei 6 DRUG-THE-BUG: Determining druggable binding sites in bacterial membrane proteins Atomistic
Sean Wu

Sean Wu

6 Pushing the boundaries of resolution of biological objects by electron microscopy with GPU-enhanced ptychography

Atomistic