Planned work to improve resilience of the Research Data Store

Users of the Research Data Store (RDS) may have noticed intermittent performance issues affecting storage recently, which has been causing some disruption to users. This work is a necessary precursor to a major program of work in which we will replace, expand and enhance, the RDS service.  Phase 1 Between now and summer 2025 we … Continue reading “Planned work to improve resilience of the Research Data Store”

Utilising BlueBEAR for radiation transport simulations and computational fluid dynamics

In this case study, we hear from Kiran Nutter (PhD student in the Nuclear Physics group), who has been utilising BEAR to study applications of gamma ray imaging. I am a PhD student in the Nuclear Physics group at the University of Birmingham, and a part of the EPSRC Centre for Doctoral Training in Topological design. … Continue reading “Utilising BlueBEAR for radiation transport simulations and computational fluid dynamics”

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Quantum chemical modelling of solids for optoelectronic applications

In this case study, we hear from Peter Russell (School of Chemistry), who has been utilising BlueBEAR to focus on the computational and theoretical modelling of novel solid-state materials. I am a first year PhD student in the Scanlon Materials Theory Group, based in the School of Chemistry.  The group is focused on the computational … Continue reading “Quantum chemical modelling of solids for optoelectronic applications”

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10,12,14 to infinity: quantum research is classically hard

In this case study, we hear from Jonathon Riddell (School of Physics), who has been utilising BlueBEAR to study strongly correlated quantum systems out of equilibrium. My name is Jonathon Riddell, I am a fellow of non-equilibrium physics, in the Theoretical Physics Group. I am working on several projects, all of them with heavy reliance … Continue reading “10,12,14 to infinity: quantum research is classically hard”

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BEAR storage changes – 3TB becomes 5TB!

We wanted to update existing and potential future users of our storage about an exciting change coming to the BEAR Research Data Store! From Tuesday 21 January, the amount of free, secure storage that can be requested per research project increases from 3TB to 5TB. At the same time, we have decided to simplify the … Continue reading “BEAR storage changes – 3TB becomes 5TB!”

BEAR PGR/ECR Conference opportunity 2025

We are starting to plan for the 14th BEAR conference – an event originally created to give PhD students experience in running a conference, as well as provide a showcase for the fantastic research done on services provided by Birmingham Environment for Academic Research (BEAR).  With previous support from the Graduate School and our suppliers, … Continue reading “BEAR PGR/ECR Conference opportunity 2025”

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Investigating the brain with BEAR

In this case study, we hear from Brandon Ingram (based at the School of Psychology), who has been utilising BEAR to deepen their understanding of the mechanisms our brains employ to interpret visual stimuli. My research focuses on integrating electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to gain a more comprehensive understanding of how … Continue reading “Investigating the brain with BEAR”

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Studying phase-field fracture mechanics using the high-performance cluster BlueBEAR

In this case study, we hear from Vincenzo Brachetta (School of Metallurgy and Materials), who has been working on fracture mechanics in materials science using the high-performance cluster BlueBEAR and the Research Data Store, both housed at the University of Birmingham. He is also a member of the Birmingham Environment for Academic Research (BEAR) Champions … Continue reading “Studying phase-field fracture mechanics using the high-performance cluster BlueBEAR”

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Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR

In this case study, we hear from Vincenzo Brachetta (School of Metallurgy and Materials), who has been working on prediction of residual stresses in materials science using the high-performance cluster BlueBEAR and the Research Data Storage, both housed at the University of Birmingham. He is also a member of the Birmingham Environment for Academic Research … Continue reading “Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR”

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Using BlueBEAR to predict the wind characteristics around high-rise buildings

In this case study we hear from Jose Romero, a PhD student in Civil Engineering, who has been using BlueBEAR to predict wind characteristics around high-rise buildings. You probably don’t realise it, but wind is probably influencing your actions on a daily basis! It may be that you choose to grab a coat before leaving … Continue reading “Using BlueBEAR to predict the wind characteristics around high-rise buildings”

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