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”
Tag: ML
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)”
Reflecting on the 13th Annual BEAR Conference 2024
The following blog post has been written by Dr. Josephine Bates, who shares her thoughts on the BEAR Conference 2024. From the 23 to 24 April, 2024, the 13th annual BEAR (Birmingham Environment for Academic Research) Conference took place in the Chemical Engineering building at the University of Birmingham. The conference revolved around High-Performance Computing … Continue reading “Reflecting on the 13th Annual BEAR Conference 2024”