Leveraging computational resources to simulate small molecule–protein dynamics

In this case study, we hear from Dr Alan Jones (Pharmacy), who has been making use of BlueBEAR to enable his research in drug discovery. My name is Alan Jones. I am an Associate Professor based in the School of Pharmacy. My research interests are linked to drug discovery in the widest sense (making, optimising, and developing … Continue readingLeveraging computational resources to simulate small molecule–protein dynamics

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Unraveling the Secrets of Viscous Fluids: Harnessing the Power of Research Computing

In this case study, we hear from Roberto Hart-Villamil (EngD student in Chemical Engineering), who has been making use of BlueBEAR to enable his research into temperature sensitivity and how it affects everyday products. Ever packed your favourite cream for a vacation in a tropical paradise, only to discover it’s turned into an unrecognizable goo? You’re … Continue reading “Unraveling the Secrets of Viscous Fluids: Harnessing the Power of Research Computing”

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Street-scale resolution air quality modelling for the West Midlands

In this case study, we hear from Dr Jian Zhong (Geography, Earth and Environmental Science), who has been making use of BlueBEAR to enable his research in air quality modelling.   I am a Research Fellow in Urban Air Quality Modelling in the Geography, Earth & Environmental Science. My research has focused on urban air quality modelling, urban … Continue reading “Street-scale resolution air quality modelling for the West Midlands”

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Crystal structures in the BEAR Cloud

In this case study, we hear from Professor Andrew Morris (School of Metallurgy and Materials), whose research group has been making use of BEAR Cloud to aid discovery. My research group  predicts the crystal structure of materials. Experimental discovery of new functional materials can be slow, difficult and expensive.  Computational Structure Prediction allows us to … Continue reading “Crystal structures in the BEAR Cloud”

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Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach

Duiyi Dai (Claire), a PhD student from the Department of Economics, describes below how BlueBEAR is essential for her research into quantifying Brexit uncertainty, reducing the time spent running her analysis from two months on her own device to just one day! What is your research about? The term “Brexit” was first used in May … Continue reading “Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach”

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