Roadmap on data-centric materials science

Bauer, Stefan, Benner, Peter, Bereau, Tristan, Blum, Volker, Boley, Mario, Carbogno, Christian, Catlow, C. Richard A. ORCID: https://orcid.org/0000-0002-1341-1541, Dehm, Gerhard, Eibl, Sebastian, Ernstorfer, Ralph, Fekete, Ádám, Foppa, Lucas, Fratzl, Peter, Freysoldt, Christoph, Gault, Baptiste, Ghiringhelli, Luca M., Giri, Sajal K., Gladyshev, Anton, Goyal, Pawan, Hattrick-Simpers, Jason, Kabalan, Lara, Karpov, Petr, Khorrami, Mohammad S., Koch, Christoph T., Kokott, Sebastian, Kosch, Thomas, Kowalec, Igor, Kremer, Kurt, Leitherer, Andreas, Li, Yue, Liebscher, Christian H., Logsdail, Andrew J. ORCID: https://orcid.org/0000-0002-2277-415X, Lu, Zhongwei, Luong, Felix, Marek, Andreas, Merz, Florian, Mianroodi, Jaber R., Neugebauer, Jörg, Pei, Zongrui, Purcell, Thomas A. R., Raabe, Dierk, Rampp, Markus, Rossi, Mariana, Rost, Jan-Michael, Saal, James, Saalmann, Ulf, Sasidhar, Kasturi Narasimha, Saxena, Alaukik, Sbailò, Luigi, Scheidgen, Markus, Schloz, Marcel, Schmidt, Daniel F., Teshuva, Simon, Trunschke, Annette, Wei, Ye, Weikum, Gerhard, Xian, R Patrick, Yao, Yi, Yin, Junqi, Zhao, Meng and Scheffler, Matthias 2024. Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering 32 (6) , 063301. 10.1088/1361-651x/ad4d0d

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Abstract

Science is and always has been based on data, but the terms ‘data-centric’ and the ‘4th paradigm’ of materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift towards managing vast data collections, digital repositories, and innovative data analytics methods. The integration of artificial intelligence and its subset machine learning, has become pivotal in addressing all these challenges. This Roadmap on Data-Centric Materials Science explores fundamental concepts and methodologies, illustrating diverse applications in electronic-structure theory, soft matter theory, microstructure research, and experimental techniques like photoemission, atom probe tomography, and electron microscopy. While the roadmap delves into specific areas within the broad interdisciplinary field of materials science, the provided examples elucidate key concepts applicable to a wider range of topics. The discussed instances offer insights into addressing the multifaceted challenges encountered in contemporary materials research.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Cardiff Catalysis Institute (CCI) Chemistry
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0, Type: cc-by
Publisher:	IOP Publishing
ISSN:	0965-0393
Date of First Compliant Deposit:	4 July 2024
Date of Acceptance:	17 May 2024
Last Modified:	09 Jul 2024 08:41
URI:	https://orca.cardiff.ac.uk/id/eprint/170259

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