Junqi Yin Computational Scientist Contact YINJ@ORNL.GOV All Publications Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules Robust data-driven approach for predicting the configurational energy of high entropy alloys Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer... The relation between two ductility mechanisms for Mg alloys revealed by high-throughput simulations Machine learning as a contributor to physics: Understanding Mg alloys Hidden Mn magnetic-moment disorder and its influence on the physical properties of medium-entropy NiCoMn solid solution alloys The Design, Deployment, and Evaluation of the CORAL Pre-Exascale Systems Wang–Landau approach to the simulation of water clusters Magnetic Materials at finite Temperatures: thermodynamics and combined spin and molecular dynamics derived from first princip... Combined molecular dynamics-spin dynamics simulations of bcc iron... Phonon-magnon interactions in BCC iron: A combined molecular and spin dynamics study Effect of longitudinal degree of freedom of magnetic moment in body-centered-cubic iron Effect of lattice vibrations on magnetic phase transition in BCC Iron Massively parallel Wang–Landau sampling on multiple GPUs Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Page 2 Current page 3 Key Links Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics and AI Methods at Scale Group
