Huy Pham

Huy Pham

Staff Scientist, Lawrence Livermore National Laboratory
Verified email at llnl.gov
Cited by 970
machine learning interatomic potential materials under extreme conditions molecular dynamics
Eric Fuemmeler

Eric Fuemmeler

University of Minnesota
Verified email at umn.edu
Cited by 567
machine learning interatomic potential materials database
Pandu Wisesa

Pandu Wisesa

Postdoctoral Research Associate, University of Pittsburgh
Verified email at pitt.edu
Cited by 493
density functional theory machine learning interatomic potential materials kinetics
Shinnosuke Hattori

Shinnosuke Hattori

Sony Group Corporation
Verified email at sony.com
Cited by 387
material science molecular dynamics machine learning interatomic potential
Dr. Vijay Choyal

Dr. Vijay Choyal

Assistant Professor, NIT Warangal
Verified email at nitw.ac.in
Cited by 311
DFT and MD simulation Machine Learning interatomic potential Multivalent batteries Computational
Il-Seok Jeong

Il-Seok Jeong

Korea Institute of Materials Science
Verified email at kims.re.kr
Cited by 174
density functional theory machine learning interatomic potential
Hyungmin An

Hyungmin An

Seoul National University
Verified email at snu.ac.kr
Cited by 80
density functional theory machine learning interatomic potential semiconductor process
Lei Zhang

Lei Zhang

Ph. D. candidate, University of Groningen
Verified email at rug.nl
Cited by 56
Machine learning interatomic potential dislocation plasticity
Abdullah Al Mamun

Abdullah Al Mamun

PhD Scholar, Utah State University
Verified email at usu.edu
Cited by 16
Advanced Materials MPEA Machine Learning Interatomic Potential
Hugo Moison

Hugo Moison

Verified email at get.omp.eu
atomistic simulations (path integral) molecular dynamics machine learning interatomic potential