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Interpretable and Explainable Machine Learning for Materials Science and
  Chemistry

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

1 November 2021
Felipe Oviedo
J. L. Ferres
Tonio Buonassisi
K. Butler
    AI4CE
ArXivPDFHTML

Papers citing "Interpretable and Explainable Machine Learning for Materials Science and Chemistry"

4 / 4 papers shown
Title
Learning simple heuristic rules for classifying materials based on chemical composition
Learning simple heuristic rules for classifying materials based on chemical composition
Andrew Ma
Marin Soljacic
33
0
0
05 May 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
80
28
0
30 Aug 2024
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
54
2
0
31 May 2023
Synthetic data enable experiments in atomistic machine learning
Synthetic data enable experiments in atomistic machine learning
John L A Gardner
Z. Beaulieu
Volker L. Deringer
37
6
0
29 Nov 2022
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