Skip to main content
Journal cover image

Roadmap on data-centric materials science

Publication ,  Journal Article
Bauer, S; Benner, P; Bereau, T; Blum, V; Boley, M; Carbogno, C; Catlow, CAR; Dehm, G; Eibl, S; Ernstorfer, R; Fekete, Á; Foppa, L; Fratzl, P ...
Published in: Modelling and Simulation in Materials Science and Engineering
September 1, 2024

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Modelling and Simulation in Materials Science and Engineering

DOI

EISSN

1361-651X

ISSN

0965-0393

Publication Date

September 1, 2024

Volume

32

Issue

6

Related Subject Headings

  • Materials
  • 4017 Mechanical engineering
  • 4016 Materials engineering
  • 0912 Materials Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bauer, S., Benner, P., Bereau, T., Blum, V., Boley, M., Carbogno, C., … Scheffler, M. (2024). Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering, 32(6). https://doi.org/10.1088/1361-651X/ad4d0d
Bauer, S., P. Benner, T. Bereau, V. Blum, M. Boley, C. Carbogno, C. A. R. Catlow, et al. “Roadmap on data-centric materials science.” Modelling and Simulation in Materials Science and Engineering 32, no. 6 (September 1, 2024). https://doi.org/10.1088/1361-651X/ad4d0d.
Bauer S, Benner P, Bereau T, Blum V, Boley M, Carbogno C, et al. Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering. 2024 Sep 1;32(6).
Bauer, S., et al. “Roadmap on data-centric materials science.” Modelling and Simulation in Materials Science and Engineering, vol. 32, no. 6, Sept. 2024. Scopus, doi:10.1088/1361-651X/ad4d0d.
Bauer S, Benner P, Bereau T, Blum V, Boley M, Carbogno C, Catlow CAR, Dehm G, Eibl S, Ernstorfer R, Fekete Á, Foppa L, Fratzl P, Freysoldt C, Gault B, Ghiringhelli LM, Giri SK, Gladyshev A, Goyal P, Hattrick-Simpers J, Kabalan L, Karpov P, Khorrami MS, Koch CT, Kokott S, Kosch T, Kowalec I, Kremer K, Leitherer A, Li Y, Liebscher CH, Logsdail AJ, Lu Z, Luong F, Marek A, Merz F, Mianroodi JR, Neugebauer J, Pei Z, Purcell TAR, Raabe D, Rampp M, Rossi M, Rost JM, Saal J, Saalmann U, Sasidhar KN, Saxena A, Sbailò L, Scheidgen M, Schloz M, Schmidt DF, Teshuva S, Trunschke A, Wei Y, Weikum G, Xian RP, Yao Y, Yin J, Zhao M, Scheffler M. Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering. 2024 Sep 1;32(6).
Journal cover image

Published In

Modelling and Simulation in Materials Science and Engineering

DOI

EISSN

1361-651X

ISSN

0965-0393

Publication Date

September 1, 2024

Volume

32

Issue

6

Related Subject Headings

  • Materials
  • 4017 Mechanical engineering
  • 4016 Materials engineering
  • 0912 Materials Engineering