533 citations · 584 across the 21 of their papers we have counts for
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cond-mat.mtrl-sci2025
Learning simple heuristic rules for classifying materials based on chemical composition
Andrew Ma, Marin Soljačić
In the past decade, there has been a significant interest in the use of machine learning approaches in materials science research. Conventional deep learning approaches that rely o…
cs.CL2025
LM: Mutual Information Scaling Law for Long-Context Language Modeling
Zhuo Chen, Oriol Mayné i Comas, Zhuotao Jin +2
We present a universal theoretical framework for understanding long-context language modeling based on a bipartite mutual information scaling law that we rigorously verify in natur…
cond-mat.mtrl-sci2025★ 1 cited
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Andrew Ma, Owen Dugan, Marin Soljačić
In solid-state materials science, substantial efforts have been devoted to the calculation and modeling of the electronic band gap. While a wide range of ab initio methods and mach…