7 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Active learning and explicit electrostatics enable accurate modeling of electrolytes
Olga Chalykh, Mikhail Polovinkin, Dmitry Korogod +2
Machine learning interatomic potentials (MLIPs) offer near-\textit{ab initio} accuracy with the efficiency of classical force fields, making them attractive for modeling electrolyt…
Clarifying the Ti-V Phase Diagram Using First-Principles Calculations and Bayesian Learning
Timofei Miryashkin, Olga Klimanova, Alexander Shapeev
Conflicting experiments disagree on whether the titanium-vanadium (Ti-V) binary alloy exhibits a body-centred cubic (BCC) miscibility gap or remains completely soluble. A leading h…
Novel Strontium Carbides Under Compression
Nikita Rybin, Evgeny Moerman, Pranab Gain +2
Exploring the chemistry of materials at high pressures has lead to the discovery of previously unknown exotic compounds. Here, we systematically search for all thermodynamically st…