Lixin Sun - Concepedia

Author

Lixin Sun

Massachusetts Institute of Technology ORCID

Also Known As

Duschatko, Blake R., L. Sun, Lixin Sun, Sun, L., Sun, Lixin, Sun,Lu

Publications

3.9K

Citations

H-Index

Concepts

All Affiliations

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

About

Lixin Sun is an author at Massachusetts Institute of Technology specializing in engineering, chemistry, and materials science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	18	1.3K
2	Applied Physics	6	6	104
3	Natural Sciences	5	5	639
4	Chemical Engineering	4	4	466
5	Medicine	1	1	50

Lixin Sun

Publications

3.6K

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
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
Improved chemical and electrochemical stability of perovskite oxides with less reducible cations at the surface Qiyang Lu, Lixin Sun, Ethan J. Crumlin, Nature Materials Materials ScienceChemical EngineeringEngineeringPerovskite Solar CellPerovskite Module	2016	391
A generative model for inorganic materials design Claudio Zeni, Robert Pinsler, Daniel Zügner, Nature	2025	260
Edge dislocation slows down oxide ion diffusion in doped CeO2 by segregation of charged defects Lixin Sun, Dario Marrocchelli, Bilge Yildiz Nature Communications	2015	177
Dislocations in SrTiO<sub>3</sub>: Easy To Reduce but Not so Fast for Oxygen Transport Dario Marrocchelli, Lixin Sun, Bilge Yildiz Journal of the American Chemical Society	2015	163
Colossal oxygen vacancy formation at a fluorite-bixbyite interface Dongkyu Lee, Xiang Gao, Lixin Sun, Nature Communications	2020	94
Evolution of Metastable Structures at Bimetallic Surfaces from Microscopy and Machine-Learning Molecular Dynamics Jin Soo Lim, Jonathan Vandermause, M. A. Van Spronsen, Journal of the American Chemical Society	2020	73
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

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