Mingjian Wen - Publications, H-index & Citations

Mingjian Wen

university of houston system

17H指数

75论文数

1.1K被引数

收录论文 24

发表时间

Parametric, Mechanistic, and Data-Driven Approaches to Elucidate and Control Zeolite EMT Crystallization 参数化、机理和数据驱动方法用于阐明和控制沸石EMT结晶过程

Microporous and Mesoporous Materials

IF4.7

2026-09-27

PREAI

Zhiyin Niu; Emmanuel A. Olanrewaju; Taimin Yang; Akhil Sree Kumar; Luke M. Tufaro; Simon M. Vornholt; Chenfeng Huang; Jaeyul Kim; Santosh Adhikari; Karena W. Chapman; Jeremy C. Palmer; Mingjian Wen; Jeffrey D. Rimer

Atomistic machine learning with irreducible Cartesian natural tensors 原子级机器学习与不可约笛卡尔自然张量

Nature Communications

IF15.7

2026-08-27

OAAI

Qun Chen; A. S. L. Subrahmanyam Pattamatta; Boyu Wang; David J. Srolovitz; Mingjian Wen

Automated extraction of synthesis recipes from the literature using large language models: Application to zeolite ZSM-5 利用大型语言模型从文献中自动提取合成配方：在ZSM-5沸石中的应用

Molecular Catalysis

IF4.9

2026-06-01

PREAI

Ahmed, Tanvir; Rimer, Jeffrey D.; Wen, Mingjian; Palmer, Jeremy C.

Two-Dimensional Mesoporous Tungsten Oxynitride/Carbon Nanosheets: Enabling High-Performance Lithium-Sulfur Batteries 二维介孔钨氧氮化物/碳纳米片：实现高性能锂硫电池

Angewandte Chemie International Edition

IF16.9

2026-04-23

PREAI

Zhenwen Li; Ruiming Liu; Qun Chen; Mingjian Wen; Xiaodan Huang; Qin Yue

Diffusion Channel Engineering of Spinel Cathodes for Selective Lithium Extraction from Low-Grade Brine 尖晶石正极材料的扩散通道工程用于从低品位盐湖卤水中选择性提取锂

ACS Nano

IF16

2025-12-01

PREAI

Yixuan Qiao; Houjun Zhang; Yao Nian; Yuqi Li; Changwei Xiao; Tiantian Wang; Yang Wang; Mingjian Wen; You Han; Jieshan Qiu

An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li7P3S11 固态电解质界面形成过程中锂/Li7P3S11反应活性的原子尺度研究

JOURNAL OF PHYSICAL CHEMISTRY C

IF3.2

2025-09-01

PREAI

Li, Bryant Y.; Karan, Vir; Kaplan, Aaron D.; Wen, Mingjian; Persson, Kristin A.

Correction: Atomate2: modular workflows for materials science 更正：Atomate2：材料科学的模块化工作流

Digital Discovery

IF5.6

2025-08-19

OAAI

Alex 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

Atomate2: modular workflows for materials science Atomate2：材料科学中的模块化工作流

Digital Discovery

IF5.6

2025-07-26

OAAI

Alex 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

Accelerated data-driven materials science with the Materials Project 通过材料项目加速数据驱动的材料科学

Nature Materials

IF38.5

2025-07-03

PREAI

Matthew 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

Cartesian atomic moment machine learning interatomic potentials 笛卡尔原子矩机器学习原子间势能

NPJ COMPUTATIONAL MATERIALS

IF11.9

2025-05-09

OAAI

Wen, Mingjian; Huang, Wei-Fan; Dai, Jin; Adhikari, Santosh

Highly selective zinc ion removal by the synergism of functional groups and defects from N, S co-doped biochar N，S共掺杂生物炭中官能团和缺陷协同作用的高选择性锌离子去除

SEPARATION AND PURIFICATION TECHNOLOGY

IF9

2025-02-01

PREAI

Wang, Changlin; Adhikari, Santosh; Li, Yuqi; Wen, Mingjian; Wang, Yang

CoeffNet: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network

CHEMICAL SCIENCE

IF7.4

2024-01-01

OAAI

Vijay, Sudarshan; Venetos, Maxwell C.; Spotte-Smith, Evan Walter Clark; Kaplan, Aaron D.; Wen, Mingjian; Persson, Kristin A.

An equivariant graph neural network for the elasticity tensors of all seven crystal systems 用于所有七个晶体系统的弹性张量的等变图神经网络

DIGITAL DISCOVERY

IF5.6

2024-01-01

OAAI

Wen, Mingjian; Horton, Matthew K.; Munro, Jason M.; Huck, Patrick; Persson, Kristin A.

Chemical reaction networks and opportunities for machine learning 化学反应网络和机器学习的机会

NATURE COMPUTATIONAL SCIENCE

IF18.3

2023-01-16

PREAI

Wen, Mingjian; Spotte-Smith, Evan Walter Clark; Blau, Samuel M.; McDermott, Matthew J.; Krishnapriyan, Aditi S.; Persson, Kristin A.

Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2022-06-01

OAAI

Kurniawan, Yonatan; Petrie, Cody L.; Williams, Kinamo J. J.; Transtrum, Mark K.; Tadmor, Ellad B.; Elliott, Ryan S.; Karls, Daniel S.; Wen, Mingjian

KLIFF: A framework to develop physics-based and machine learning interatomic potentials KLIFF: 开发基于物理和机器学习的原子间势的框架

COMPUTER PHYSICS COMMUNICATIONS

IF3.4

2022-03-01

OAAI

Wen, Mingjian; Afshar, Yaser; Elliott, Ryan S.; Tadmor, Ellad B.

Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining

CHEMICAL SCIENCE

IF7.4

2022-01-01

OAAI

Wen, Mingjian; Blau, Samuel M.; Xie, Xiaowei; Dwaraknath, Shyam; Persson, Kristin A.

Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction Network 用自动反应网络预测乙烯一碳酸锂的形成机理

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

IF15.6

2021-08-11

OAAI

Xie, Xiaowei; Spotte-Smith, Evan Walter Clark; Wen, Mingjian; Patel, Hetal D.; Blau, Samuel M.; Persson, Kristin A.

Quantum chemical calculations of lithium-ion battery electrolyte and interphase species 锂离子电池电解质和相间物种的量子化学计算

SCIENTIFIC DATA

IF6.9

2021-08-05

OAAI

Spotte-Smith, Evan Walter Clark; Blau, Samuel M.; Xie, Xiaowei; Patel, Hetal D.; Wen, Mingjian; Wood, Brandon; Dwaraknath, Shyam; Persson, Kristin Aslaug

BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules BonDNet: 用于预测带电分子的键离解能的图形神经网络

CHEMICAL SCIENCE

IF7.4

2021-01-01

OAAI

Wen, Mingjian; Blau, Samuel M.; Spotte-Smith, Evan Walter Clark; Dwaraknath, Shyam; Persson, Kristin A.

研究方向