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Eric D. Boittier — most-cited papers & profile · AI for Science
← authors
·
overview
Eric D. Boittier
7
papers ·
26
citations ·
11
h-index
University of Basel
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Uncertainty quantification for predictions of atomistic neural networks
2022 · 26 citations
Explicit, Machine-Learned Two-Body Potentials for Molecular Simulations
2026
Efficient, Equivariant Predictions of Distributed Charge Models
2026
Cluster Models for Next-Generation, Machine-Learning-Based Energy Functions for Molecular Simulations
2025
Towards Large-Scale Condensed Phase Simulations using Machine Learned Energy Functions
2025
Impact of the characteristics of quantum chemical databases on machine learning predictions of tautomerization energies
2021
Systematic Improvement of Empirical Energy Functions in the Era of Machine Learning
2023
Top co-authors
and Markus Meuwly
· 3
Kham Lek Chaton
· 2
Luis Itza Vazquez-Salazar
· 2
Mike Devereux
· 2
and M. Meuwly
· 1
JingChun Wang
· 1
Kai T\"opfer
· 1
Markus Meuwly
· 1
Markus Meuwly
· 1
Markus Meuwly
· 1
M. Devereux
· 1
Meenu Upadhyay
· 1
Topics
Chemistry
Materials
Physics ML