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and Paul Erhart — most-cited papers & profile · AI for Science
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and Paul Erhart
6
papers ·
47
citations
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Most-cited papers
Quantifying Dynamic Tilting in Halide Perovskites: Chemical Trends and Local Correlations
2023 · 40 citations
Predicting neutron experiments from first principles: A workflow powered by machine learning
2025 · 5 citations
Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra
2023 · 2 citations
Efficient method for calculation of low-temperature phase boundaries
2026
A Morphotropic Phase Boundary in MA$_1-x$FA$_x$PbI$_3$: Linking Structure, Dynamics, and Electronic Properties
2025
The hiphive package for the extraction of high-order force constants by machine learning
2018
Top co-authors
Erik Fransson
· 2
Erik Fransson
· 2
Julia Wiktor
· 2
Adam J. Jackson
· 1
Babak Sadigh
· 1
Christian Sch\"afer
· 1
Christine Wu
· 1
Dominik Kubicki
· 1
Eric Lindgren
· 1
Eric Lindgren
· 1
Esm\'ee Berger
· 1
Fredrik Eriksson
· 1
Topics
Materials
Physics ML
Chemistry