English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Roadmap on data-centric materials science

MPS-Authors
/persons/resource/persons30956

Rost,  Jan M.
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

/persons/resource/persons184907

Saalmann,  Ulf
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2402.10932v3.pdf
(Preprint), 6MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Bauer, S., Benner, P., Bereau, T., Blum, V., Boley, M., Carbogno, C., et al. (2024). Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering, 32(6): 063301. doi:10.1088/1361-651X/ad4d0d.


Cite as: https://hdl.handle.net/21.11116/0000-000F-D7B3-4
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.