In this case study, we hear from Jordan Deakin a Ph.D. student in Psychology, who has been making use of BlueBEAR and the BEAR Research Data Store to enable her research into visual selective attention. My PhD project explores how visual selective attention enables us to focus on task relevant information while filtering out interference. Typical investigations … Continue reading “Beating the Burden of Bayesian Statistics with BEAR!”
Category: User case study BlueBEAR
SNOW much fun: BEAR helps generate Open Access snow data
In this case study, we hear from Adrià Fontrodona-Bach (4th year Ph.D. student Geography), who has been making use of BlueBEAR and the BEAR Portal to enable him to create large Open Access datasets. “We need data” is a common statement in academic research. However, environmental data is usually scarce, unreliable, or inaccessible. As part of my … Continue reading “SNOW much fun: BEAR helps generate Open Access snow data”
Simulating DNA and its Interactions with Metal Compounds
In this case study, we hear from Samuel Dettmer (Chemistry), who has been making use of BlueBEAR and the Research Data Store to enable his research into the ability of metal compounds to bind to DNA structures. My name’s Sam and I’m a 2nd year PhD student in the Hannon Group in the School of Chemistry. My … Continue reading “Simulating DNA and its Interactions with Metal Compounds”
Using BlueBEAR to estimate the global impact of climate change on agriculture
In this case study, we hear from Allan Beltrán Hernández (Assistant Professor of Environmental Economics), who has been making use of BlueBEAR to enable his research into estimating the impact of climate change on agriculture at the global level. I work with colleagues at Yale University and the National Autonomous University of Mexico on estimating the impact … Continue reading “Using BlueBEAR to estimate the global impact of climate change on agriculture”
How BlueBear is Helping us Solve Problems in One of the Hardest Areas of Physics – Powders?
In this case study, we hear from Benjamin Jenkins (EngD Formulation Eng FT), who has been making use of BlueBEAR to enable his research into powder simulation and issues surrounding calibration. You probably don’t think about how we use powders in manufacturing on a day-to-day basis and I wouldn’t blame you! They are however, the second most … Continue reading “How BlueBear is Helping us Solve Problems in One of the Hardest Areas of Physics – Powders?”
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 reading “Leveraging computational resources to simulate small molecule–protein dynamics“
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”
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”
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”
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”