Roadmap on data-centric materials science
Condensed Matter - Materials Science
0303 health sciences
03 medical and health sciences
Physics - Data Analysis, Statistics and Probability
Materials Science (cond-mat.mtrl-sci)
FOS: Physical sciences
Data Analysis, Statistics and Probability (physics.data-an)
DOI:
10.1088/1361-651x/ad4d0d
Publication Date:
2024-05-17T22:25:08Z
AUTHORS (61)
ABSTRACT
Abstract Science is and always has been based on data, but the terms ‘data-centric’ ‘4th paradigm’ of materials research indicate a radical change in how information retrieved, handled performed. It signifies transformative shift towards managing vast data collections, digital repositories, innovative analytics methods. The integration artificial intelligence its subset machine learning, become pivotal addressing all these challenges. This Roadmap Data-Centric Materials explores fundamental concepts methodologies, illustrating diverse applications electronic-structure theory, soft matter microstructure research, experimental techniques like photoemission, atom probe tomography, electron microscopy. While roadmap delves into specific areas within broad interdisciplinary field science, provided examples elucidate key applicable to wider range topics. discussed instances offer insights multifaceted challenges encountered contemporary research.
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