Modelling accelerator-based neutron sources using the BlueBEAR cluster

In this case study we hear from Louis Butt, a doctoral researcher from Metallurgy and Materials, who has been using BlueBEAR to research accelerator-based neutron sources. I am a PhD student researching accelerator-based neutron sources in the School of Metallurgy and Materials. My work involves taking measurements with our source at the University’s MC40 Cyclotron … Continue reading “Modelling accelerator-based neutron sources using the BlueBEAR cluster”

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Bayesian Modelling of Rising Decision Thresholds in DDMs using BlueBEAR

In this case study we hear from Sophie Wetz, a Masters student in Psychology, who has been using BlueBEAR to investigate whether a dynamic, rising boundary improved the fit of the full Drift Diffusion Model (DDM) to Random Dot Kinematogram (RDK) task data. I’m a Master’s student on the Computational Neuroscience stream in the School … Continue reading “Bayesian Modelling of Rising Decision Thresholds in DDMs using BlueBEAR”

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Modelling defects in inorganic phosphor crystals

In this case study we talk to Maryia Shymanovich, a PhD student in Chemistry, whose project focuses on the computational analysis of the defects in inorganic phosphor materials for solid-state lighting applications. I am a second-year PhD student in Professor David Scanlon’s (School of Chemistry) group, and my research project focuses on the computational analysis of … Continue reading “Modelling defects in inorganic phosphor crystals”

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