Support for the UKCP consortium

Lead Research Organisation: University of York
Department Name: Physics

Abstract

Many technological advances in modern day life are dependent upon the development of new materials, or better control and understanding of existing materials. Understanding the detailed properties of materials has therefore never been more important. The development of high quality computer simulation techniques has played an increasingly significant role in this endeavour over recent years. The UK has been at the forefront of this new wave, and the UKCP consortium has played an important part, in both developing computer codes and algorithms, and exploiting these new advances to increase our understanding of many industrially relevant materials and processes.

The preferred mechanism for providing computational resources on the UK national supercomputer (ARCHER) is via large research consortia, and this proposal funds the UKCP consortium. This is a large and established consortium, containing 22 different nodes and over 160 active researchers. Each node is a different University Department and is represented by one key academic - see the "Linked Proposals" or the Track Record for a complete list of current members of UKCP. This proposal seeks computational support for a large body of research (see "Other Support") with a substantial allocation of ARCHER resources and also the support of a named Research Software Engineer (RSE). The RSE will assist with training and supporting different members of the consortium in using the principle codes used within the consortium (e.g. CASTEP), and also develop some of the new code features required to complete some of these projects.

As part of this proposal, the researchers will have to develop new algorithms and also make theoretical improvements that will increase our simulation abilities (either by increasing the accuracy and reliability of calculations, or by enabling us to simulate bigger systems for longer). New algorithms include machine learning to generate new model potentials derived from accurate quantum mechanical calculations for fast calculations of large systems, improved structure optimisation, and uncertainty quantification. New functionality includes new spectroscopies, including magnetic structure, vibrations, neutron scattering and muon decay. Together, these innovations will enable the next generation of simulations and further widen our computational horizons.

The research described in this proposal will make significant impacts on many areas of future technology, such as semiconductor nanostructures, protein-drug optimization, ultra-high temperature ceramics, nanoscale devices, hybrid perovskites and solar cells and inorganic nanotubes and metal-air battery anodes.

There are also areas of fundamental research, designed to push our understanding of basic properties of matter, such as interfacial water, nanocrystal growth, structure of grain boundaries, pigment-protein complexes, radiation damage in DNA and high-pressure hydrogen phases.

The research proposed does not easily fit into any of the traditional categories of 'physics' or 'chemistry' etc. Instead, the UKCP is a multi-disciplinary consortium using a common theoretical foundation to advance many different areas of materials-based science which has the potential for significant impact both in the short and long-term.

Planned Impact

The UKCP is a large consortium, containing 22 different nodes, each being a key academic in a separate University Department (see the Linked Proposals or the Track Record section for a complete list of current members of UKCP). As
such, there are a large number of researchers involved in the research presented in this proposal. Hence this is a wide ranging research proposal that will have immediate impact on experimental and theoretical materials-based researchers in solid state physics, chemistry and materials science. However, the impact will soon spread beyond that to many different areas of pure and applied materials-based science and technology.

In particular, a number of the different work packages have industrial application and/or industrial partners that are already interested, e.g. Johnson-Matthey, Tokamak Solutions Ltd, National Physical Laboratory, Rolls-Royce, DSTL, Sellafield Ltd, etc as detailed in the Scientific Case. Whilst these impacts will take place over the short-medium term, it is expected that the economic and societal impact will take place over a longer timescale, for instance:

* Members of UKCP help with policy making at various level, such as the PI being involved in various EPSRC consultations and HPC advisory committees, and at a higher level, Prof Mike Payne (a former member of UKCP and now Strategic Advisor to UKCP) being a member of the e-Leadership Council advising the UK government Science Minister.

* There is a clear link to industry in many of the projects (e.g. Johnson-Matthey, Tokamak Solutions Ltd, National Physical Laboratory, Rolls-Royce, DSTL, Sellafield Ltd, etc are named partners)

* Work Package 4, "Industrial Applications", identifies a number of projects with obvious links to industry, including ultra-high temperature ceramics, nanoscale device modelling, materials to be used in nuclear decommissioning, and metallic nanoparticles for vehicle exhaust catalysis. Each of these projects is expected to lead to new materials and/or processes in the future and has named industrial partners.

* Work Package 5, "Energy materials", contains a number of projects focused on energy generation (e.g. hybrid perovskite solar cells, improved battery materials and electrodes, thermoelectric materials, electron transport in batteries, inorganic nanotubes for solar fuels).

* There have been numerous examples of "global business" investing in R&D with UKCP nodes, some historic and some current, for instance, Canon (Japan) recently seconded one of their R&D staff to York for 2 years to study for an MPhil with the PI. Other examples can be found in the "Other Support" section and in completed grants via the Grants on the Web site.

* In addition, the code developments created by this proposal in CASTEP and ONETEP will be directly fed to many industrial researchers via the commercial distribution of these codes via Dassault Systemes BIOVIA (formerly Accelrys Inc) - see the Letter of Support from BIOVIA, which specifies some of the commercial users of these codes (including Astra-Zeneca, Boeing, Dow, Sony, Toyota, etc). Other UKCP developed codes, such as CONQUEST and QUIP are available as Open Source. This also has benefits for wealth creation and jobs - many former PhD students and postdocs from UKCP nodes have gone to work for Accelrys and related software companies.

Finally, there is a strong track-record of UKCP PhD students and postdocs going to work for non-academic professions, for instance a former PDRA of the PI has a permanent job with the Met Office in Exeter. Many other examples exist within the 21 other nodes of the network.

Publications

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Ells AW (2022) Phase Transformations and Phase Segregation during Potassiation of Sn x P y Anodes. in Chemistry of materials : a publication of the American Chemical Society

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Gerrard N (2019) Strain Relief during Ice Growth on a Hexagonal Template. in Journal of the American Chemical Society

 
Description We have theoretically predicted a new thermoelectric material with astonishingly high thermopower - TaFeSb - which has now been published, and independently experimentally verified.

We have theoretically predicted a number of new superconducting materials in the M2AX family, and developed a method to rapidly screen potential superconductors within this family, so that new materials with ever higher Tc can be efficiently discovered. Currently, we have predicted 3 materials, each of which has the highest known Tc for any carbide / nitride / boride -based M2AX material.
Exploitation Route The TaFeSb paper is a theoretical study of a predicted new material. Now that it has been tested & verified experimentally, it should lead to a significant improvement in thermoelectric generator performance and efficiency.

The M2AX papers develop the screening methodology, which may be useful in lots of other superconductivity studies, and also significantly increase the number & Tc of M2AX superconductors, and should therefore stimulate other research groups to investigate this very unusual family of materials.
Sectors Energy

URL http://www.archer.ac.uk/community/consortia/ukcp/
 
Description Current applied physics outputs from Hasnip and Probert have focussed on thermoelectric materials. The initial studies were on materials with an isotropic crystal structure (e.g. Fe2VAl, NbFeSb etc) and it has been demonstrated how to improve the power factor and thermoelectric efficiency by control of the chemical structure. An alternative route to improving thermoelectrics is by nanopatterning, and this is an ongoing area of research, with experimental collaborators at the University of York and international collaborators doing other theoretical studies. A recent joint theory+experiment paper on the impact of nanopatterning on the thermoelectric properties of silicon has been submitted. Other challenges currently being addressed include how to improve the efficiency of the calculations so that more potential materials can be screened in less time, and how to handle anisotropic materials. A PhD thesis has just been submitted on anisotropic thermoelectric materials and papers will follow. Results of these studies are being regularly published in the open literature, and are of interest to industrial research groups in the Energy sector. The rest of the consortium have published in a wide range of fields.
First Year Of Impact 2017
Sector Energy
 
Description CASTEP solvation forces
Amount £46,545 (GBP)
Funding ID ARCHER2-eCSE01-9 
Organisation University of Edinburgh 
Department Edinburgh Parallel Computing Centre (EPCC)
Sector Academic/University
Country United Kingdom
Start 01/2021 
End 12/2021
 
Description CASTEP-USER: Predictive Materials Modelling For Experimental Scientists
Amount £541,320 (GBP)
Funding ID EP/W030438/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 04/2022 
End 03/2025
 
Description Introducing heterogeneous HPC solutions to UK's MMM community
Amount £757,879 (GBP)
Funding ID EP/W032260/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 11/2021 
End 03/2022
 
Description Materials and Molecular Modelling (MMM) Exascale Design and Development Working Group (DDWG)
Amount £53,357 (GBP)
Funding ID EP/V001256/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 05/2020 
End 07/2021
 
Description The Materials and Molecular Modelling Hub
Amount £4,510,207 (GBP)
Funding ID EP/T022213/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2020 
End 12/2023
 
Description eCSE
Amount £74,037 (GBP)
Funding ID eCSE10-10 
Organisation University of Edinburgh 
Department Edinburgh Parallel Computing Centre (EPCC)
Sector Academic/University
Country United Kingdom
Start 08/2017 
End 03/2018
 
Description eCSE
Amount £44,000 (GBP)
Funding ID eCSE11-7 
Organisation University of Edinburgh 
Department Edinburgh Parallel Computing Centre (EPCC)
Sector Academic/University
Country United Kingdom
Start 08/2017 
End 01/2018
 
Title Data set related to the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons" 
Description Input/output files for Gaussian calculations, data sets for all plots shown in the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons", C code for the NICS calculations through the dipolar model and python code for the NICS calculations through the tight-binding model described in the manuscript. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://zenodo.org/record/3676905
 
Title Data set related to the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons" 
Description Input/output files for Gaussian calculations, data sets for all plots shown in the manuscript "Efficient prediction of Nucleus Independent Chemical Shifts for polycyclic aromatic hydrocarbons", C code for the NICS calculations through the dipolar model and python code for the NICS calculations through the tight-binding model described in the manuscript. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://zenodo.org/record/3676904
 
Title CASTEP code 
Description A general purpose computer program for the calculation of the properties of materials, using quantum mechanics. CASTEP is distributed world-wide via Biovia (formerly Accelrys Inc) to many industrial partners, including Electronics, Aviation, Car manufacturers, consumer electronic devices, pharmaceuticals, etc. Beneficiaries: Many industrial customers of the CASTEP code, including electronics, aviation, automobile and pharmaceuticals. Examples include Canon, Toyota, General Motors, etc. Contribution Method: Probert and Hasnip (PDRA) are two of the 6 core developers of the CASTEP code. 
Type Of Technology Software 
Year Produced 2023 
Impact Academic highlights include the theoretical prediction of the existence of graphane; theoretical prediction of new stable high-pressure phases of aluminium, ammonia, nitrogen, water, hydrogen and carbon; electronic defect modelling in many important semiconductors; growth of polar oxides; see http://www.castep.org/CASTEP/ResearchHighlights for more. Industrial impact is often kept secret - but can see CASTEP cited in over 70 patent applications in recent years. CASTEP was also an Impact Case Study for REF 2021 
URL http://www.castep.org