NJmat: Data-Driven Machine Learning Interface to Accelerate Material Design
Author:
Affiliation:
1. Department of Materials Physics, School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, Nanjing 210044, China
Funder
Natural Science Foundation of Jiangsu Province
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00493
Reference43 articles.
1. A robotic platform for flow synthesis of organic compounds informed by AI planning
2. What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits?
3. Materials 4.0: Materials big data enabled materials discovery
4. Perspective: Interactive material property databases through aggregation of literature data
5. Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
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