In this case study, we hear from Kiran Nutter (PhD student in the Nuclear Physics group), who has been utilising BEAR to study applications of gamma ray imaging. I am a PhD student in the Nuclear Physics group at the University of Birmingham, and a part of the EPSRC Centre for Doctoral Training in Topological design. … Continue reading “Utilising BlueBEAR for radiation transport simulations and computational fluid dynamics”
Tag: HPC
Elucidating the Pathways for Human Tooth Enamel Mineralisation
In this case study, we hear from Mahdi Tavakol (based at University of Oxford, and visiting researcher), who has been utilising BEAR to study tooth mineralisation and demineralisation. My name is Mahdi Tavakol. I am a computational scientist in the Department of Engineering Science at the University of Oxford and a visiting researcher and collaborator … Continue reading “Elucidating the Pathways for Human Tooth Enamel Mineralisation”
Modelling multiphase flows for sustainable manufacturing and thermal energy applications
In this case study, we hear from Faysal Khaleel and Fahad Al-Gburi (based in the School of Engineering), who have been utilising BEAR to study fluid dynamics problems in materials synthesis and heat transport applications. We are PhD students within Dr. Jason Stafford’s research group in the School of Engineering and co-supervised by Prof. Yulong … Continue reading “Modelling multiphase flows for sustainable manufacturing and thermal energy applications”
Quantum chemical modelling of solids for optoelectronic applications
In this case study, we hear from Peter Russell (School of Chemistry), who has been utilising BlueBEAR to focus on the computational and theoretical modelling of novel solid-state materials. I am a first year PhD student in the Scanlon Materials Theory Group, based in the School of Chemistry. The group is focused on the computational … Continue reading “Quantum chemical modelling of solids for optoelectronic applications”
10,12,14 to infinity: quantum research is classically hard
In this case study, we hear from Jonathon Riddell (School of Physics), who has been utilising BlueBEAR to study strongly correlated quantum systems out of equilibrium. My name is Jonathon Riddell, I am a fellow of non-equilibrium physics, in the Theoretical Physics Group. I am working on several projects, all of them with heavy reliance … Continue reading “10,12,14 to infinity: quantum research is classically hard”
Baskerville multi-GPU RSE call
Many new and upcoming HPC systems provide computing power through GPUs. Relatively little research software uses such hardware and less still can fully exploit multiple GPUs simultaneously. The Research Software Group (RSG) is in a position to offer time-limited support to researchers at the University of Birmingham with research software that currently runs on GPUs … Continue reading “Baskerville multi-GPU RSE call”
BEAR Challenge student teams compete in national Cluster Challenge
Two of the top-performing student teams from BEAR Challenge 2024 have gone onto compete in a national student cluster challenge. Online challenges began in October and culminated in three days of in-person activities in Manchester, where they competed with 14 other teams from universities across the UK at Computing Insight UK (CIUK). From the start … Continue reading “BEAR Challenge student teams compete in national Cluster Challenge”
Molecular Photophysics: a connection between Theoretical Chemistry and Ultrafast Spectroscopy
In this case study, we hear from Reza Omidyan (School of Chemistry), who has been utilising BEAR to predict the photophysical properties of biological and chemical compounds. I am an associate professor of Physical Chemistry, and since a few months ago, I have been utilizing BlueBEAR, the supercomputer at the University of Birmingham for my … Continue reading “Molecular Photophysics: a connection between Theoretical Chemistry and Ultrafast Spectroscopy”
Unlocking the power of BlueBEAR for social science research
In this case study, we hear from Shuyu Li (based in the Department of Economics), who has been utilising BEAR for tackling complex environmental economics problems. As a PhD student in Environmental Economics at the University of Birmingham, I’ve always been fascinated by the ways in which cutting-edge technology can unlock new avenues for research. My work … Continue reading “Unlocking the power of BlueBEAR for social science research”
Training accurate Machine Learnt Interatomic Potentials (MLIPs) for High Entropy Alloys (HEAs)
In this case study, we hear from Joseph Arnold (based at the School of Metallurgy and Materials), who has been utilising BEAR for developing machine learning-based interatomic potential’s (MLIP). I am a postdoctoral research fellow in the Gurrutxaga-Lerma research group within the School of Metallurgy and Materials, here at the University of Birmingham. My research … Continue reading “Training accurate Machine Learnt Interatomic Potentials (MLIPs) for High Entropy Alloys (HEAs)”