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Eric Lindgren

chalmers university of technology

6H指数
22论文数
650被引数
收录论文 8
发表时间
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NEP89: universal neuroevolution potential for inorganic and organic materials across 89 elementsNEP89：跨越89种元素的通用神经进化势能用于无机和有机材料
errNature Computational Science
IF18.3
err2026-07-08
err0
PREAI
errTing Liang; Ke Xu; Eric Lindgren; Zherui Chen; Rui Zhao; Jiahui Liu; Esmée Berger; Benrui Tang; Bohan Zhang; Yanzhou Wang; Keke Song; Penghua Ying; Nan Xu; Haikuan Dong; Shunda Chen; Paul Erhart; Zheyong Fan; Tapio Ala-Nissila; Jianbin Xu
err分享
err收藏
Predicting neutron experiments from first principles: a workflow powered by machine learning基于第一性原理的神经实验预测：一种由机器学习驱动的流程
errJ. Mater. Chem. A
IF9.5
err2025-08-05
err0
errOAAI
errEric Lindgren; Adam J. Jackson; Erik Fransson; Esmée Berger; Goran Škoro; Svemir Rudić; Rastislav Turanyi; Sanghamitra Mukhopadhyay; Paul Erhart
err分享
err收藏
Developing robust stress intensity factor models using Fourier-based data analysis to guide machine learning method selection and training基于傅里叶数据分析开发鲁棒应力强度因子模型，以指导机器学习方法的选择与训练
errEngineering Fracture Mechanics
IF5.3
err2025-07-19
err0
PREAI
errTushar Gautam; Jacob Hochhalter; Shandian Zhe; Eric Lindgren; Robert M. Kirby
err分享
err收藏
Dynasor 2: From simulation to experiment through correlation functions动态相关函数 2：通过相关函数从模拟到实验
errComputer Physics Communications
IF3.4
err2025-07-18
err0
errOAAI
errEsmée Berger; Erik Fransson; Fredrik Eriksson; Eric Lindgren; Göran Wahnström; Thomas Holm Rod; Paul Erhart
err分享
err收藏
General-purpose machine-learned potential for 16 elemental metals and their alloys
errNATURE COMMUNICATIONS
IF15.7
err2024-11-25
err1
errOAAI
errSong, Keke; Zhao, Rui; Liu, Jiahui; Wang, Yanzhou; Lindgren, Eric; Wang, Yong; Chen, Shunda; Xu, Ke; Liang, Ting; Ying, Penghua; Xu, Nan; Zhao, Zhiqiang; Shi, Jiuyang; Wang, Junjie; Lyu, Shuang; Zeng, Zezhu; Liang, Shirong; Dong, Haikuan; Sun, Ligang; Chen, Yue; Zhang, Zhuhua; Guo, Wanlin; Qian, Ping; Sun, Jian; Erhart, Paul; Ala-Nissila, Tapio; Su, Yanjing; Fan, Zheyong
err分享
err收藏
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2024-04-04
err9
errOAAI
errXu, Nan; Rosander, Petter; Scha''fer, Christian; Lindgren, Eric; O''sterbacka, Nicklas; Fang, Mandi; Chen, Wei; He, Yi; Fan, Zheyong; Erhart, Paul
err分享
err收藏
Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2024-02-14
err9
errOAAI
errSchafer, Christian; Fojt, Jakub; Lindgren, Eric; Erhart, Paul
err分享
err收藏
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulationsGPUMD: 一个用于构建精确的机器学习潜力和执行高效原子模拟的软件包
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2022-09-20
err153
errOAAI
errFan, Zheyong; Wang, Yanzhou; Ying, Penghua; Song, Keke; Wang, Junjie; Wang, Yong; Zeng, Zezhu; Xu, Ke; Lindgren, Eric; Magnus Rahm, J.; J. Gabourie, Alexander; Liu, Jiahui; Dong, Haikuan; Wu, Jianyang; Chen, Yue; Zhong, Zheng; Sun, Jian; Erhart, Paul; Su, Yanjing; Ala-Nissila, Tapio
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
郭
郭万林 (Wanlin Guo)
H 指数: 76 · 论文数: 637
P
Paul Erhart
H 指数: 63 · 论文数: 355
T
Tapio Ala-Nissilä
H 指数: 58 · 论文数: 560
陈越 封面图
陈越 (Yue Chen)
H 指数: 57 · 论文数: 629
Z
Zhuhua Zhang
H 指数: 56 · 论文数: 279
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