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M

Mingjian Wen

university of electronic science and technology of china

17H-index
73Paper Count
1.1KCitation Count
Published Papers 22
Publication Date
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Atomistic machine learning with irreducible Cartesian natural tensors
errNature Communications
IF15.7
err2026-08-27
err0
errOAAI
errQun Chen; A. S. L. Subrahmanyam Pattamatta; Boyu Wang; David J. Srolovitz; Mingjian Wen
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Two-Dimensional Mesoporous Tungsten Oxynitride/Carbon Nanosheets: Enabling High-Performance Lithium-Sulfur Batteries
errAngewandte Chemie International Edition
IF16.9
err2026-04-23
err0
PREAI
errZhenwen Li; Ruiming Liu; Qun Chen; Mingjian Wen; Xiaodan Huang; Qin Yue
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errSave
Diffusion Channel Engineering of Spinel Cathodes for Selective Lithium Extraction from Low-Grade Brine
errACS Nano
IF16
err2025-12-01
err0
PREAI
errYixuan Qiao; Houjun Zhang; Yao Nian; Yuqi Li; Changwei Xiao; Tiantian Wang; Yang Wang; Mingjian Wen; You Han; Jieshan Qiu
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errSave
An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li7P3S11
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2025-09-01
err0
PREAI
errLi, Bryant Y.; Karan, Vir; Kaplan, Aaron D.; Wen, Mingjian; Persson, Kristin A.
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errSave
Correction: Atomate2: modular workflows for materials science
errDigital Discovery
IF5.6
err2025-08-19
err0
errOAAI
errAlex M. Ganose; Hrushikesh Sahasrabuddhe; Mark Asta; Kevin Beck; Tathagata Biswas; Alexander Bonkowski; Joana Bustamante; Xin Chen; Yuan Chiang; Daryl C. Chrzan; Jacob Clary; Orion A. Cohen; Christina Ertural; Max C. Gallant; Janine George; Sophie Gerits; Rhys E. A. Goodall; Rishabh D. Guha; Geoffroy Hautier; Matthew Horton; T. J. Inizan; Aaron D. Kaplan; Ryan S. Kingsbury; Matthew C. Kuner; Bryant Li; Xavier Linn; Matthew J. McDermott; Rohith Srinivaas Mohanakrishnan; Aakash A. Naik; Jeffrey B. Neaton; Shehan M. Parmar; Kristin A. Persson; Guido Petretto; Thomas A. R. Purcell; Francesco Ricci; Benjamin Rich; Janosh Riebesell; Gian-Marco Rignanese; Andrew S. Rosen; Matthias Scheffler; Jonathan Schmidt; Jimmy-Xuan Shen; Andrei Sobolev; Ravishankar Sundararaman; Cooper Tezak; Victor Trinquet; Joel B. Varley; Derek Vigil-Fowler; Duo Wang; David Waroquiers; Mingjian Wen; Han Yang; Hui Zheng; Jiongzhi Zheng; Zhuoying Zhu; Anubhav Jain
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errSave
Atomate2: modular workflows for materials science
errDigital Discovery
IF5.6
err2025-07-26
err0
errOAAI
errAlex M. Ganose; Hrushikesh Sahasrabuddhe; Mark Asta; Kevin Beck; Tathagata Biswas; Alexander Bonkowski; Joana Bustamante; Xin Chen; Yuan Chiang; Daryl C. Chrzan; Jacob Clary; Orion A. Cohen; Christina Ertural; Max C. Gallant; Janine George; Sophie Gerits; Rhys E. A. Goodall; Rishabh D. Guha; Geoffroy Hautier; Matthew Horton; T. J. Inizan; Aaron D. Kaplan; Ryan S. Kingsbury; Matthew C. Kuner; Bryant Li; Xavier Linn; Matthew J. McDermott; Rohith Srinivaas Mohanakrishnan; Aakash N. Naik; Jeffrey B. Neaton; Shehan M. Parmar; Kristin A. Persson; Guido Petretto; Thomas A. R. Purcell; Francesco Ricci; Benjamin Rich; Janosh Riebesell; Gian-Marco Rignanese; Andrew S. Rosen; Matthias Scheffler; Jonathan Schmidt; Jimmy-Xuan Shen; Andrei Sobolev; Ravishankar Sundararaman; Cooper Tezak; Victor Trinquet; Joel B. Varley; Derek Vigil-Fowler; Duo Wang; David Waroquiers; Mingjian Wen; Han Yang; Hui Zheng; Jiongzhi Zheng; Zhuoying Zhu; Anubhav Jain
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errSave
Accelerated data-driven materials science with the Materials Project
errNature Materials
IF38.5
err2025-07-03
err0
PREAI
errMatthew K. Horton; Patrick Huck; Ruo Xi Yang; Jason M. Munro; Shyam Dwaraknath; Alex M. Ganose; Ryan S. Kingsbury; Mingjian Wen; Jimmy X. Shen; Tyler S. Mathis; Aaron D. Kaplan; Karlo Berket; Janosh Riebesell; Janine George; Andrew S. Rosen; Evan W. C. Spotte-Smith; Matthew J. McDermott; Orion A. Cohen; Alex Dunn; Matthew C. Kuner; Gian-Marco Rignanese; Guido Petretto; David Waroquiers; Sinead M. Griffin; Jeffrey B. Neaton; Daryl C. Chrzan; Mark Asta; Geoffroy Hautier; Shreyas Cholia; Gerbrand Ceder; Shyue Ping Ong; Anubhav Jain; Kristin A. Persson
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errSave
Cartesian atomic moment machine learning interatomic potentials
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2025-05-09
err0
errOAAI
errWen, Mingjian; Huang, Wei-Fan; Dai, Jin; Adhikari, Santosh
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errSave
Highly selective zinc ion removal by the synergism of functional groups and defects from N, S co-doped biochar
errSEPARATION AND PURIFICATION TECHNOLOGY
IF9
err2025-02-01
err12
PREAI
errWang, Changlin; Adhikari, Santosh; Li, Yuqi; Wen, Mingjian; Wang, Yang
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CoeffNet: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network
errCHEMICAL SCIENCE
IF7.4
err2024-01-01
err1
errOAAI
errVijay, Sudarshan; Venetos, Maxwell C.; Spotte-Smith, Evan Walter Clark; Kaplan, Aaron D.; Wen, Mingjian; Persson, Kristin A.
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errSave
An equivariant graph neural network for the elasticity tensors of all seven crystal systems
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err6
errOAAI
errWen, Mingjian; Horton, Matthew K.; Munro, Jason M.; Huck, Patrick; Persson, Kristin A.
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errSave
Chemical reaction networks and opportunities for machine learning
errNATURE COMPUTATIONAL SCIENCE
IF18.3
err2023-01-16
err42
PREAI
errWen, Mingjian; Spotte-Smith, Evan Walter Clark; Blau, Samuel M.; McDermott, Matthew J.; Krishnapriyan, Aditi S.; Persson, Kristin A.
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errSave
Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2022-06-01
err8
errOAAI
errKurniawan, Yonatan; Petrie, Cody L.; Williams, Kinamo J. J.; Transtrum, Mark K.; Tadmor, Ellad B.; Elliott, Ryan S.; Karls, Daniel S.; Wen, Mingjian
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errSave
KLIFF: A framework to develop physics-based and machine learning interatomic potentials
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2022-03-01
err17
errOAAI
errWen, Mingjian; Afshar, Yaser; Elliott, Ryan S.; Tadmor, Ellad B.
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errSave
Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining
errCHEMICAL SCIENCE
IF7.4
err2022-01-01
err23
errOAAI
errWen, Mingjian; Blau, Samuel M.; Xie, Xiaowei; Dwaraknath, Shyam; Persson, Kristin A.
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errSave
Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction Network
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2021-08-11
err37
errOAAI
errXie, Xiaowei; Spotte-Smith, Evan Walter Clark; Wen, Mingjian; Patel, Hetal D.; Blau, Samuel M.; Persson, Kristin A.
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errSave
Quantum chemical calculations of lithium-ion battery electrolyte and interphase species
errSCIENTIFIC DATA
IF6.9
err2021-08-05
err25
errOAAI
errSpotte-Smith, Evan Walter Clark; Blau, Samuel M.; Xie, Xiaowei; Patel, Hetal D.; Wen, Mingjian; Wood, Brandon; Dwaraknath, Shyam; Persson, Kristin Aslaug
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errSave
BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules
errCHEMICAL SCIENCE
IF7.4
err2021-01-01
err56
errOAAI
errWen, Mingjian; Blau, Samuel M.; Spotte-Smith, Evan Walter Clark; Dwaraknath, Shyam; Persson, Kristin A.
errShare
errSave
Uncertainty quantification in molecular simulations with dropout neural network potentials
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2020-08-14
err64
errOAAI
errWen, Mingjian; Tadmor, Ellad B.
errShare
errSave
Hybrid neural network potential for multilayer graphene
errPHYSICAL REVIEW B
IF3.7
err2019-11-18
err59
errOAAI
errWen, Mingjian; Tadmor, Ellad B.
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
G
Gerbrand Ceder
H-index: 166 · Papers: 1.1K
M
Matthias Scheffler
H-index: 133 · Papers: 1.0K
K
Kristin A. Persson
H-index: 111 · Papers: 723
E
Efthimios Kaxiras
H-index: 106 · Papers: 934
D
David J. Srolovitz
H-index: 104 · Papers: 734
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