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”
Category: Case study
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)”
Studying battery materials using high performance cluster BlueBEAR
In this case study, we hear from Sandeep Das (based at the School of Chemistry), who has been utilising BEAR to design novel Li-ion battery materials. I am a postdoctoral researcher and computational chemist in the Scanlon Materials Theory Group based at the School of Chemistry, University of Birmingham. My research is currently focussed on … Continue reading “Studying battery materials using high performance cluster BlueBEAR”
A computational fluid dynamic model of an ultra clean air operating theatre
In this case study, we hear from Andrew Thomas (Birmingham Medical School), a Consultant Orthopaedic Surgeon at the Royal Orthopaedic Hospital NHS Foundation Trust, who has been utilising BlueBEAR to produce a new Computational Fluid Dynamics (CFD) model of the type of operating theatre used for joint replacement surgery. The work is part of a … Continue reading “A computational fluid dynamic model of an ultra clean air operating theatre”
Investigating the brain with BEAR
In this case study, we hear from Brandon Ingram (based at the School of Psychology), who has been utilising BEAR to deepen their understanding of the mechanisms our brains employ to interpret visual stimuli. My research focuses on integrating electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to gain a more comprehensive understanding of how … Continue reading “Investigating the brain with BEAR”
Studying stars across the Milky Way with BEAR
In this case study, we hear from Amalie Stokholm (based at the School of Physics and Astronomy), who has been using stars to gain insights into the history of our Galaxy using the high-performance cluster BlueBEAR and the Research Data Store, both housed at the University of Birmingham. My name is Amalie Stokholm. I am … Continue reading “Studying stars across the Milky Way with BEAR”
Studying phase-field fracture mechanics using the high-performance cluster BlueBEAR
In this case study, we hear from Vincenzo Brachetta (School of Metallurgy and Materials), who has been working on fracture mechanics in materials science using the high-performance cluster BlueBEAR and the Research Data Store, both housed at the University of Birmingham. He is also a member of the Birmingham Environment for Academic Research (BEAR) Champions … Continue reading “Studying phase-field fracture mechanics using the high-performance cluster BlueBEAR”
Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR
In this case study, we hear from Vincenzo Brachetta (School of Metallurgy and Materials), who has been working on prediction of residual stresses in materials science using the high-performance cluster BlueBEAR and the Research Data Storage, both housed at the University of Birmingham. He is also a member of the Birmingham Environment for Academic Research … Continue reading “Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR”
Using BlueBEAR to predict the wind characteristics around high-rise buildings
In this case study we hear from Jose Romero, a PhD student in Civil Engineering, who has been using BlueBEAR to predict wind characteristics around high-rise buildings. You probably don’t realise it, but wind is probably influencing your actions on a daily basis! It may be that you choose to grab a coat before leaving … Continue reading “Using BlueBEAR to predict the wind characteristics around high-rise buildings”