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Interpretable models for extrapolation in scientific machine learning

Interpretable models for extrapolation in scientific machine learning

16 December 2022
Eric S. Muckley
J. Saal
B. Meredig
C. Roper
James H. Martin
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Papers citing "Interpretable models for extrapolation in scientific machine learning"

7 / 7 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
28
0
0
05 May 2025
Sparse mixed linear modeling with anchor-based guidance for high-entropy alloy discovery
Sparse mixed linear modeling with anchor-based guidance for high-entropy alloy discovery
Ryo Murakami
Seiji Miura
Akihiro Endo
Satoshi Minamoto
40
0
0
29 Apr 2025
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal
Aviv Netanyahu
Kevin P. Greenman
Pulkit Agrawal
Rafael Gómez-Bombarelli
OODD
50
1
0
09 Feb 2025
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Andrew Ma
Owen Dugan
Marin Soljacic
33
0
0
06 Jan 2025
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying
  Acid-Stable Oxides for Electrocatalysis
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis
Akhil S. Nair
L. Foppa
Matthias Scheffler
59
1
0
08 Dec 2024
Symbolic Learning for Material Discovery
Symbolic Learning for Material Discovery
Daniel Cunnington
F. Cipcigan
Rodrigo Neumann Barros Ferreira
Jonathan Booth
8
1
0
30 Nov 2023
Interpreting and generalizing deep learning in physics-based problems
  with functional linear models
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
26
7
0
10 Jul 2023
1