Bede Case Studies

If you would like to advertise your work on Bede on our pages, please follow the link below and fill in a short survey so we can share it with the N8 community.

Provide information for a Bede case study

Toby Breckon

Computer Vision - Advancing Automated Image Understanding

Halim Kusumaatmaja

Lattice Boltzmann Simulation of Liquid Infused Surfaces

Agnes Noy

Modelling DNA in complex 3D arrangements

Ajay B Harish

Supervised learning of nonlinear superposition principle for hydrodynamic loading on structures

Antreas Kalli

Investigating protein-lipid interactions with molecular simulations and machine learning

Daniel Cole

Computational Medicinal Chemistry

Ioan-Bogdan Magdau

Machine Learning Interatomic Potentials (MLIPs) for Energy Materials

Jaume Bacardit

Robust and Interpretable Deep Learning for Biomedical Data

Mark Wilson

Understanding membrane breakdown at anti-microbial polymer surfaces

Neil Drummond

GPU-isation of the CASINO quantum Monte Carlo code

Peter Jimack

Physics Informed Deep Learning for Inverse Problems in Solid Mechanics

Phil Hasnip

First-principles material modelling on pre-exascale HPC

Paul Richmond

Flame GPU 2

OFC

Bede provides the N8 Universities with high-performance computing power

Marta Camps Santasmasas

Using GASCANS to model turbulent air flows around a building

George Lever

Bede Utilisation at the University of Manchester

Bede Homepage

Training Resources