Aidan P. Thompson

1. LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
   2021/09/22 by Aidan P. Thompson, Hasan Metin Aktulga, H. Metin Aktulga +20 · 487 citations
   Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Electron and X-Ray Spectroscopy Techniques #Machine Learning in Materials Science
2. Performance and Cost Assessment of Machine Learning Interatomic Potentials
   2020/01/09 by Yunxing Zuo, Chi Chen, Xiangguo Li +8 · 34 citations
   Chemistry · Materials Science · #Crystallography and molecular interactions #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
3. Multi-fidelity machine-learning with uncertainty quantification and\n Bayesian optimization for materials design: Application to ternary random\n alloys
   2020/05/29 by Anh Tran, Tran, Anh, Julien Tranchida +5 · 2 citations
   Materials Science · #Atomic Physics (physics.atom-ph) #Computational Engineering #Computational Physics (physics.comp-ph) #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #and Science (cs.CE)