Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning-Reference-Cited by-同舟云学术

Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

Published:2022-09-16 Issue:12 Volume:24 Page:2200574
ISSN:1438-1656
Container-title:Advanced Engineering Materials
language:en
Short-container-title:Adv Eng Mater

Author:

Prakash Aruna¹^ORCID,Sandfeld Stefan¹²³

Affiliation:

1. Micromechanical Materials Modelling Group (MiMM) Institute of Mechancis and Fluid Dynamics Technical University Bergakademie Freiberg Lampadiusstraße 4 09599 Freiberg Germany

2. Institute for Advanced Simulation—IAS-9 Materials Data Science and Informatics Forschungszentrum Juelich GmbH 52425 Zurich Germany

3. Chair of Materials Data Science and Materials Informatics Faculty 5—Georesources and Materials Engineering RWTH Aachen University 52056 Aachen Germany

Funder

European Research Council

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.202200574

Reference75 articles.

1. A bridge for accelerating materials by design

2. Machine learning in materials informatics: recent applications and prospects

3. Chances and Challenges in Fusing Data Science with Materials Science

4. Materials Data Science: Current Status and Future Outlook

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