Simon Batzner - Concepedia

Author

Simon Batzner

Robert Bosch (United States)ORCID

Also Known As

Batzner, Simon, Johansson, Anders, Simon Batzner

Publications

3.6K

Citations

H-Index

Concepts

All Affiliations

Robert Bosch (United States)Harvard University Harvard University Press Massachusetts Institute of Technology Lawrence Berkeley National Laboratory

About

Simon Batzner is an author at Robert Bosch (United States) specializing in engineering, computational chemistry, and biophysics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	868
2	Natural Sciences	6	6	755
3	Chemistry	5	5	721
4	Medicine	1	1	50
5	Applied Physics	1	1	34

Simon Batzner

Publications

3.5K

Citations

H-Index

Page 1

	Year	Citations
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials Simon Batzner, Albert Musaelian, Lixin Sun, Nature Communications	2022	1.5K
Scaling deep learning for materials discovery Amil Merchant, Simon Batzner, Samuel S. Schoenholz, Nature	2023	984
Learning local equivariant representations for large-scale atomistic dynamics Albert Musaelian, Simon Batzner, Anders Johansson, Nature Communications Geometric LearningEngineeringMachine LearningLocal Equivariant RepresentationsComputational Chemistry	2023	544
The design space of E(3)-equivariant atom-centred interatomic potentials Ilyes Batatia, Simon Batzner, Dávid Péter Kovács, Nature Machine Intelligence	2025	118
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials Ilyes Batatia, Simon Batzner, Dávid Péter Kovács, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural NetworkComputational Chemistry	2022	98
Fast uncertainty estimates in deep learning interatomic potentials Albert Zhu, Simon Batzner, Albert Musaelian, The Journal of Chemical Physics Artificial IntelligenceEngineeringMachine LearningData SciencePhysic Aware Machine Learning	2023	63
SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials Simon Batzner, Tess Smidt, Lixin Sun,	2021	56
Multitask Machine Learning of Collective Variables for Enhanced Sampling of Rare Events Lixin Sun, Jonathan Vandermause, Simon Batzner, Journal of Chemical Theory and Computation Geometric LearningEngineeringMachine LearningMachine Learning ToolAutoencoders	2022	50
Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size Boris Kozinsky, Albert Musaelian, Anders Johansson, Biophysical ModelingEngineeringAllegro ArchitectureComputational ChemistryChemistry	2023	40
Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set Cameron J. Owen, Steven B. Torrisi, Yu Xie, npj Computational Materials Many-body InteractionsEngineeringMaterial SimulationComputational ChemistryPhysic Aware Machine Learning	2024	34

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