The table below give some details on the previous projects that were awarded compute resources from the EPSRC Tier2 Open-Access call. The Open-Access call includes CPU core hours, GPU card hours, and KNL node hours, and the projects below include resources on all three hardware types.
Fourth Panel (April 2019)
Project Title |
Resources |
| Exploring ice phase diagram using machine learning potentials | 2M CPU |
| Development of Gaussian approximation potentials (GAPs) for accurate atomistic simulation of metallic glasses | 3M CPU |
| Large-eddy simulations of flows over rigid canopies in different canopy flow regimes | 3.05664M CPU |
| Hydrodynamic damping and fatigue analysis of deep-sea pipelines | 2.60928M CPU |
| Physical determinants of liquid-liquid phase separation of protein mixtures from multiscale simulations | 7.8M CPU |
| Passive and active control of wall-bounded turbulent flows | 2.91456M CPU |
| CES: Correlated Equations of State | 2.7M CPU |
| Two-Phase Coexisting Chalcogenides as Thermoelectric Materials | 4.416M CPU |
| Charge Optimization for Small-molecule Inhibitors | 9.072k GPU |
| Simulation of cover gas region in Sodium-cooled fast reactors using sectional modelling for aerosol dynamics | 6M CPU |
| Generating computationally ready metal-organic frameworks and adsorption data for high-throughput and machine learning | 3.49312M CPU |
| First-principles modelling of novel electrolytes and solid-solid interfaces for superior all solid-state batteries | 4M CPU |
| First-principles simulations of nanocrystal early-stage growth and morphology | 3.24504M CPU 25.447k GPU |
| Quantum spin liquids for next generation computation and storage | 5.49376M CPU |
| Building end-to-end dialogue systems | 100k GPU |
Third Panel (November 2018)
Project Title |
Resources |
| Transitional shockwave/boundary-layer interactions with confinement effects | 54.72k GPU |
| Neural Machine Translation Research and Competitive Evaluation | 91k GPU |
| Multi‐omics data integration for new paradigms in predictive cancer modelling | 104k GPU |
| Benchmarking Quantum Mechanical Bespoke Protein Force Fields | 45.6k GPU |
| Investigating the role of strong electronic correlation in the NO-binding mechanism of cytochrome c prime | 3M CPU |
| Evolution of the excess energy in radiation damage events | 2.5M CPU |
| Crystal structure prediction for next-generation solar absorbers | 4M CPU |
| Exploring the shape space of elongated particles for novel liquid-crystalline behaviour | 50k GPU |
| Compression in Distributed Machine Translation | 150k GPU |
| Quantification of Uncertainties for Earthquake, Tsunami and Climate Models | 105k GPU 40k KNL |
| The importance of protein disorder in the formation of liquid-drops in the genome | 9.85728M CPU |
| Ab initio charge transport and electron‐phonon interactions in 2D materials | 5.5M CPU |
| Efficient Architectures for Neural Machine Translation | 53.84k GPU |
| MRTeAm (Multi-Robot Task-Allocation/Teamwork) | 2.4992M CPU |
| Molecular level simulations of combustion systems using the DSMC method | 5M CPU |
| Computational Exploration of Organic Molecule Reactivity and Spectra | 2M CPU |
| Towards Optimizing Nozzle Shape for Jet Noise Reduction | 3.200256M CPU |
| Development of plasma facing materials using machine learning | 2.5M CPU 40k KNL |
| Room temperature 2-dimensional topological insulators | 5M CPU |
| Advanced modelling of MHD waves and instabilities in non-uniform (non)-ideal plasmas | 2.38M CPU 89.28k GPU |
| Binding Affinity for Charged Ligands Using Coupled Topologies | 35k GPU |
| Project Title: Parametric decay instabilities at the 1st and 2nd harmonic upper hybrid layer in fusion plasmas | 3M CPU |
| Data-driven prediction of rare and extreme events in turbulent reacting flows | 3.072M CPU |
| Raman amplifcation in plasma | 6.48k GPU |
| Investigating mechanical properties in organic molecular crystals with ab initio simulations | 2.004M CPU |
| Large-eddy simulations of flows over elastic canopies in different canopy flow regimes | 3.056M CPU |
| Understanding and developing a new type of phase-change memory material | 5.99424M CPU |
| The Effect of Real Gas Dynamics on Transonic Turbine Performance | 4M CPU |
| Unsteady Hydrodynamics of Tidal Turbines | 1.2M CPU |
| High-level Abstractions for Performance, Portability and Continuity of Scientific Software on Exascale Computing Systems | 10k GPU |
| Advanced Materials for Alkali-ion Batteries (AMAiB) | 7.228M CPU |
| Numerical Study of the Vibration of Water Intake Risers Subject to Ocean Currents | 2.1M CPU |
| Development of Computational Fluid Dynamics Methodology for Advanced Gas Reactors (AGR) Dropped Fuel | 5M CPU |
| Machine learning potentials for metallic glasses | 3M CPU |
| Electronic properties through grain boundaries in Fe/MgO/Fe MTJs | 0.864M CPU |
Second Panel (April 2018)
Project Title |
Resources |
| Metal azolates: first steps towards ab initio metal-organic framework discovery and design | 4,972,032 CPU |
| Targeting Alzheimer's-associated amyloid-beta using small molecules | 3,400,000 CPU |
| Computation of droplet laden flows around complex geometries using a novel multiphysics approach | 2,000,000 CPU |
| Updated Parameterization of Phospholipids in the GROMOS force field | 2,000,000 CPU |
| Long timescale simulation of metallic glasses | 30,000 GPU |
| Thermoelectric Properties of Disordered Materials | 4,070,720 CPU |
| Modeling the laser-induced metamagnetic phase transition in FeRh | 13,200 GPU |
| Large Eddy Simulation and Feedback Control of Wake Dynamics for Vehicle Drag Reduction | 4,915,200 CPU |
| Loss mechanisms in aero-engine components under engine representative conditions | 4,000,000 CPU |
| Turbulent Flow Over Complex Surfaces | 2,250,000 CPU |
| Large Eddy Simulation of full-annular gas turbine model combustor | 3,818,800 CPU |
| Towards 1Billion particle DEM simulations of landslide hazard impact assessment | 2,000,000 CPU & 19,500 KNL & 19,500 GPU |
First Panel (December 2017)
Project Title |
Resources |
| ASCRIBE | 60,000 KNL |
| Distributed Machine Translation | 100,000 GPU |
| Computational DNA nanotechnology | 50,000 GPU |
| Ultrasound imaging for the brain | 8,000,000 CPU |
| High-Order High-Fidelity CFD on Modern Hardware | 100,000 GPU & 50,000 KNL |
| Next-generation Battery Materials | 4,000,000 CPU |
| Piezoelectric transistor device simulations from first principles | 2,328,000 CPU |
| Towards Massively Parallel Gas Turbine CFD | 3,264,000 CPU & 110,592 KNL |
| Nano-solute-vacancy clusters in reactor pressure vessel | 1,147,392 CPU & 13,248 KNL |
| Free Energy of G4 Quadruplex Stabilizers | 100,000 GPU |
| Shock-wave/boundary-layer interactions with side-wall | 44,000 GPU |
| Towards differentiation of buoyancy-driven turbulence | 80,000 KNL |
| Uncertainty Quantification for Tsunamis | 41,000 KNL & 46,000 GPU |
| Finite Volume Methods for Turbulent Flows | 22,000 KNL |