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)”

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Bear on Tour! (Richard Turner)

Our next researcher in the #BearonTour series is Richard Turner, a Research Fellow in the computational modelling and materials simulation Research Group, PRISM2, in the School of Metallurgy & Materials. Q1 – Tell me about your researchWe simulate manufacturing processes and in-service conditions of metallic components, to understand the thermal and mechanical loading upon it … Continue reading “Bear on Tour! (Richard Turner)”

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Bear on Tour!

We thought it would be really interesting to find out more about our researchers and how they use BEAR services, so what better way to do this than be interviewed by a bear! So, our first interviewees are Professor Dagmar Divjak and Professor Petar Milin from Modern Languages in CAL. Q1 – Tell me about … Continue reading “Bear on Tour!”

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