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The UK Car-Parrinello HEC Consortium

Lead Research Organisation: University of York
Department Name: Physics

Abstract

Many modern technological advances are dependent upon either the development of new materials, or better control and understanding of existing materials. As materials' properties depend on their constituent nuclei and electrons, accurate modelling of their electronic structure is crucial. In principle, this should be straightforward, as the fundamental quantum mechanical equations governing their behaviour have been known for almost 100 years; however, solving these equations is extraordinarily hard. The key advance has been the development of high quality computer simulation methods for many-electron systems able to describe realistic materials, and the UK has been at the forefront of this new field since the very start. The UKCP HEC, focused on density functional theory methods, has played a fundamental part in this effort via both developing theories, software and algorithms, and exploiting these innovative tools in use cases relevant to a range of disciplines and industries.

UKCP also supports experimental communities, via computational training, RSE time and computer allocations on Tier-1 and Tier-2 HPC. The close interaction between DFT theorists, software developers and users drives innovation and expands simulation capabilities, as well as magnifying the impact of the work. The research proposed does not easily fit traditional categories of "physics", "chemistry" etc; instead, UKCP is a multidisciplinary consortium using a common theoretical foundation to advance many areas of materials-based science, with the potential for significant impact both in the short and long-term.

UKCP currently comprises 24 different nodes in physics, chemistry, materials science & engineering, with over 150 active researchers. Each node is a different University Department, represented by one key academic (a Co-I on the grant). This proposal provides computational support for a large body of research across UKCP (over £40M in already-awarded grants) with a substantial allocation of ARCHER2 and Tier-2 HPC resources plus Research Software Engineer (RSE) support. The RSE provides essential expert coding support for the principal UKCP codes (CASTEP, CONQUEST & ONETEP), develops new code features as required for some UKCP projects, and assists with training and supporting the UKCP codes' user-communities.

The innovations in this proposal enable the next generation of simulations and further widen our computational horizons. UKCP will develop new algorithms, workflows & theoretical methods to increase our simulation abilities, in terms of both new functionality and dramatically improved accuracy & speed. New algorithms include embedding machine learning methods into DFT to speed up calculations, and enabling treatment of large systems (bringing together the CASTEP & ONETEP codes into a single workflow and enabling DFT codes to be embedded in multiscale, multiphysics simulations). GPU ports and improved parallelism enable UKCP software to exploit current and future HPC architectures effectively & with greater energy efficiency. New functionality includes NMR spectroscopy with spin-orbit coupling, so the full periodic table can be studied with high accuracy, and advances in excited state modelling, including temperature and environmental effects.

These developments enable larger, more complex systems to be studied and will make significant impacts on many areas of future technology, including LED lighting, improved wear/corrosion resistance, next generation batteries, low power electronics & spintronics, improved energy-harvesting (thermoelectric) materials, new materials for carbon capture/storage and nanoparticles for water purification. There are also areas of fundamental research, to further our understanding of basic properties of matter, such as dynamics at molecule/metal interfaces, electron interactions in solid/liquid interfaces, quantum effects in biological processes, protein-ligand binding & high-pressure hydrogen phases
 
Title Supplemental Material 
Description Supplemental Material 
Type Of Art Film/Video/Animation 
Year Produced 2024 
URL https://aip.figshare.com/articles/media/Supplemental_Material/26659060
 
Description The work developed in the CASTEP and ONETEP computer programs has been merged frequently with the main codebases, continuing with the latest releases. CASTEP and ONETEP are available at no cost for academic use worldwide, and marketed commercially worldwide by BIOVIA (part of Dassault Systemes). These software packages are key simulation engines for BIOVIA's flagship Materials Studio product, and are used by hundreds of companies worldwide. They are cited in support of over 250 patent applications, as well as over 2000 peer-reviewed papers each year (see e.g. https://atomistic.software/#/charts/CASTEP).
First Year Of Impact 2023
Sector Aerospace, Defence and Marine,Agriculture, Food and Drink,Chemicals,Digital/Communication/Information Technologies (including Software),Education,Electronics,Energy,Environment,Manufacturing, including Industrial Biotechology,Culture, Heritage, Museums and Collections,Pharmaceuticals and Medical Biotechnology,Security and Diplomacy,Transport
Impact Types Economic

 
Title CCDC 2342368: Experimental Crystal Structure Determination 
Description Related Article: Jem Pitcairn, Mario Antonio Ongkiko, Andrea Iliceto, Peter J. Speakman, Stuart Calder, Malcolm J. Cochran, Joseph A. M. Paddison, Cheng Liu, Stephen P. Argent, Andrew J. Morris, Matthew J. Cliffe|2024|J.Am.Chem.Soc.|||doi:10.1021/jacs.4c04102 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact By combining bulk magnetic data with diffuse scattering analysis and broken-symmetry density-functional calculations, we probe the magnetic superexchange interactions, which when combined with symmetry analysis allow us to suggest design principles for future noncollinear vdW MOMs. These materials, if delaminated, would prove an interesting new family of 2D magnets. 
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2jmf8w&sid=DataCite
 
Title CSD 2321459: Experimental Crystal Structure Determination 
Description Related Article: Sumit Konar, Gertruda Zieniute, Elliot Lascelles, Beth Wild, Andreas Hermann, Yi Wang, Robert J. Quinn, Jan-Willem G. Bos, Andrew Fitch|2024|Chem.Mater.|36|1238|doi:10.1021/acs.chemmater.3c02039 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Density functional theory molecular dynamics (MD) calculations imply that the P63/mmc structure is stable for NaBF4, and reproduce the experimental phase sequence upon heating. F atoms are markedly more mobile than K and B atoms in the disordered state. Both materials show promise for thermal energy storage, with good thermal and structural stabilities over multiple heating/cooling cycles. 
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2hxnsw&sid=DataCite
 
Title CSD 2321460: Experimental Crystal Structure Determination 
Description Related Article: Sumit Konar, Gertruda Zieniute, Elliot Lascelles, Beth Wild, Andreas Hermann, Yi Wang, Robert J. Quinn, Jan-Willem G. Bos, Andrew Fitch|2024|Chem.Mater.|36|1238|doi:10.1021/acs.chemmater.3c02039 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Density functional theory molecular dynamics (MD) calculations imply that the P63/mmc structure is stable for NaBF4, and reproduce the experimental phase sequence upon heating. F atoms are markedly more mobile than K and B atoms in the disordered state. Both materials show promise for thermal energy storage, with good thermal and structural stabilities over multiple heating/cooling cycles. 
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2hxntx&sid=DataCite
 
Title CSD 2321461: Experimental Crystal Structure Determination 
Description Related Article: Sumit Konar, Gertruda Zieniute, Elliot Lascelles, Beth Wild, Andreas Hermann, Yi Wang, Robert J. Quinn, Jan-Willem G. Bos, Andrew Fitch|2024|Chem.Mater.|36|1238|doi:10.1021/acs.chemmater.3c02039 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Density functional theory molecular dynamics (MD) calculations imply that the P63/mmc structure is stable for NaBF4, and reproduce the experimental phase sequence upon heating. F atoms are markedly more mobile than K and B atoms in the disordered state. Both materials show promise for thermal energy storage, with good thermal and structural stabilities over multiple heating/cooling cycles. 
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2hxnvy&sid=DataCite
 
Title CSD 2321972: Experimental Crystal Structure Determination 
Description Related Article: Sumit Konar, Gertruda Zieniute, Elliot Lascelles, Beth Wild, Andreas Hermann, Yi Wang, Robert J. Quinn, Jan-Willem G. Bos, Andrew Fitch|2024|Chem.Mater.|36|1238|doi:10.1021/acs.chemmater.3c02039 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Density functional theory molecular dynamics (MD) calculations imply that the P63/mmc structure is stable for NaBF4, and reproduce the experimental phase sequence upon heating. F atoms are markedly more mobile than K and B atoms in the disordered state. Both materials show promise for thermal energy storage, with good thermal and structural stabilities over multiple heating/cooling cycles. 
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2hy6b0&sid=DataCite
 
Title Data deposit accompanying Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields 
Description Dataset accompanying the paper: "Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields". Contains the training sets curated during active learning as well as .xyz files used for creating the Figures. The paper highlights that the computational efficiency of ML force fields not only results in decreased computational costs for routine catalytic investigations but also facilitates more comprehensive exploration of catalytic pathways. Published in NPJ Computational Materials: https://www.nature.com/articles/s41524-023-01124-2 Formerly on Arxiv: https://arxiv.org/abs/2301.09931 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact The paper highlights that the computational efficiency of ML force fields not only results in decreased computational costs for routine catalytic investigations but also facilitates more comprehensive exploration of catalytic pathways. 
URL https://zenodo.org/record/8268726
 
Title Data deposit accompanying Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields 
Description Dataset accompanying the paper: "Accurate Energy Barriers for Catalytic Reaction Pathways: An Automatic Training Protocol for Machine Learning Force Fields". Contains the training sets curated during active learning as well as .xyz files used for creating the Figures. The paper highlights that the computational efficiency of ML force fields not only results in decreased computational costs for routine catalytic investigations but also facilitates more comprehensive exploration of catalytic pathways. Published in NPJ Computational Materials: https://www.nature.com/articles/s41524-023-01124-2 Formerly on Arxiv: https://arxiv.org/abs/2301.09931 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact The paper highlights that the computational efficiency of ML force fields not only results in decreased computational costs for routine catalytic investigations but also facilitates more comprehensive exploration of catalytic pathways 
URL https://zenodo.org/record/8268725
 
Title Input files for Cr2AlN 
Description Support files for the superconductivity study of Cr2AlN 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Data suggests higher-Tc superconductors in the Cr2AlN family. 
URL https://pure.york.ac.uk/portal/en/datasets/85422e07-e03d-49f9-81e1-eccea2943796
 
Title Si fishbones 
Description Dataset to go with paper on nano-structured Si membranes Data embargoed until 1st June 2023 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Underpinning work for future projects. 
URL https://pure.york.ac.uk/portal/en/datasets/0486209b-414b-4c9b-84b2-974ca8ef5ae5
 
Title Simulation data for "Unveiling the Face-Dependent Ice Growth Kinetics: Insights from Molecular Dynamics on Basal and Prism Surfaces" 
Description Ice nucleation and growth are critical in many fields, including atmospheric science, cryobiology, and aviation. However, understanding the detailed mechanisms of ice crystal growth remains challenging. In this work, crystallization at the ice/quasi-liquid layer interface of the basal and primary prism surfaces of hexagonal ice was investigated using molecular dynamics simulations across a wide range of temperatures for the TIP4P/Ice model, with comparisons to the mW coarse-grained model. The simulation and analysis datasets, including the structure, input, trajectory, and analysis files, are deposited here to support this work. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Ice nucleation and growth are critical in many fields, including atmospheric science, cryobiology, and aviation, yet understanding the detailed mechanisms of ice crystal growth remains challenging. This simulation data for crystallization at the ice/quasi-liquid layer interface of the basal and primary prism surfaces of hexagonal ice helps to elucidate the temperature-dependent mechanisms of crystallization, including face-specific growth rates. While the prism surface generally exhibits faster growth rates than the basal surface, a temperature-dependent crossover in growth rates between the basal and prism surfaces is observed, which correlates with crossover in the well-known column to platelets transition in ice-crystal habits at low vapor pressure. This observation helps decode the complex dependence between crystal morphology and temperature in ice crystals. 
URL https://kcl.figshare.com/articles/dataset/Simulation_data_for_Unveiling_the_Face-Dependent_Ice_Growt...
 
Title Ti2AlX (Dataset for Prediction of phonon-mediated superconductivity in new Ti-based M2AX phases). 
Description Input files for the Ti2AlX superconductivity studies 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Data suggests higher-Tc superconductors in the Ti2AlX family. 
URL https://pure.york.ac.uk/portal/en/datasets/96db75da-eeef-4d8b-9e51-b5314f79eeea
 
Title CASTEP 24 
Description CASTEP is a software package for predictive, quantum-mechanical simulations of materials and chemicals. It is based on density functional theory, and can simulate a wide range of materials proprieties including energetics, the structure at the atomic level, vibrational properties and electronic response properties. In particular, it has a wide range of spectroscopic features that link directly to experiment, such as infra-red and Raman spectroscopies, NMR, and core level spectra. CASTEP version 24 included a new parallel data distribution, which significantly enhanced parallel scaling. 
Type Of Technology Software 
Year Produced 2023 
Impact CASTEP is used by around 1000 companies and research groups around the world. The key papers describing CASTEP are cited over 1100/year and CASTEP is cited in support of over 250 patents. CASTEP is available under a free-of-charge source-code licence to academia worldwide, and marketed commercially worldwide by Dassault Systemes. 
URL http://www.castep.org
 
Title CASTEP 25 
Description CASTEP is a software package for predictive, quantum-mechanical simulations of materials and chemicals. It is based on density functional theory, and can simulate a wide range of materials proprieties including energetics, the structure at the atomic level, vibrational properties and electronic response properties. In particular, it has a wide range of spectroscopic features that link directly to experiment, such as infra-red and Raman spectroscopies, NMR, and core level spectra. CASTEP version 24 included a new parallel data distribution, which significantly enhanced parallel scaling. 
Type Of Technology Software 
Year Produced 2024 
Impact CASTEP is used by around 1000 companies and research groups around the world. The key papers describing CASTEP are cited over 2000/year and CASTEP is cited in support of over 250 patents. CASTEP is available under a free-of-charge source-code licence to academia worldwide, and marketed commercially worldwide by Dassault Systemes. 
URL https://www.castep.org
 
Title CASTEP-GPU 25 
Description The first full public release of CASTEP's GPU port, for NVIDIA GPUs. CASTEP is a software package for predictive, quantum-mechanical simulations of materials and chemicals. It is based on density functional theory, and can simulate a wide range of materials proprieties including energetics, the structure at the atomic level, vibrational properties and electronic response properties. In particular, it has a wide range of spectroscopic features that link directly to experiment, such as infra-red and Raman spectroscopies, NMR, and core level spectra. CASTEP version 24 included a new parallel data distribution, which significantly enhanced parallel scaling. 
Type Of Technology Software 
Year Produced 2024 
Impact CASTEP is used by around 1000 companies and research groups around the world. The key papers describing CASTEP are cited over 2000/year and CASTEP is cited in support of over 250 patents. CASTEP is available under a free-of-charge source-code licence to academia worldwide, and marketed commercially worldwide by Dassault Systemes. 
URL https://www.castep.org
 
Description CASTEP Community Conference 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The CASTEP Community Conference (formerly the CASTEP User Workshop) is an event specifically to support the international community of CASTEP users and developers. Typically over 50 people come from around the world, with a high-profile plenary address from an internationally-recognised scientist and several invited talks, plus a range of talks contributed directly by members of the community. Everyone is encouraged to bring a poster on a recent CASTEP-related project, and the friendly, collaborative atmosphere there promotes lively, informal debate.
Year(s) Of Engagement Activity 2023
URL https://warwick.ac.uk/fac/sci/eng/castep-user-conference-2023
 
Description CASTEP User Training Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Around 60 people attend this week-long workshop, learning how to use the CASTEP computer program to understand, explain and predict the behaviour of materials. By the end of the workshop all attendees have performed advanced simulations such as NMR chemical shifts, EELS or Raman spectra.
Year(s) Of Engagement Activity 2018,2019,2022,2023
URL http://www.castep.org/CASTEP/Workshop2022
 
Description CIUK23 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Organised a breakout session at Computing Insights UK (CIUK) conference for all the projects under the ExCALIBUR exascale-readiness programme, to promoted knowledge exchange between the projects and the wider computational community.

Organised a stall in the CIUK conference exhibition centre, including a rolling presentation of videos for computer simulations, flyers for each project, banners, project posters and an artistic centrepiece to draw visitors in and promote engagement.

Delivered a talk for the PAX-HPC ExCALIBUR project.
Year(s) Of Engagement Activity 2023
URL https://www.scd.stfc.ac.uk/Pages/CIUK2023.aspx
 
Description DiRAC AMD GPU Hackathon 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Co-led a team at the DiRAC-organised AMD GPU hackathon, focused on porting the CASTEP materials modelling software to AMD GPUs.
Year(s) Of Engagement Activity 2024
URL https://dirac.ac.uk/training_events/amd-pre-hackathon-training-getting-ready-for-mi300/