30 citations · 126 across the 15 of their papers we have counts for
4 papers · 1 filter
Probing Iron in Earth's Core With Molecular-Spin Dynamics
Svetoslav Nikolov, Kushal Ramakrishna, Andrew Rohskopf +5
Dynamic compression of iron to Earth-core conditions is one of the few ways to gather important elastic and transport properties needed to uncover key mechanisms surrounding the ge…
Machine Learning-Driven Structure Prediction for Iron Hydrides
Hossein Tahmasbi, Kushal Ramakrishna, Mani Lokamani +1
We created a computational workflow to analyze the potential energy surface (PES) of materials using machine-learned interatomic potentials in conjunction with the minima hopping a…
Transferable Interatomic Potentials for Aluminum from Ambient Conditions to Warm Dense Matter
Sandeep Kumar, Hossein Tahmasbi, Kushal Ramakrishna +5
We present a study on the transport and materials properties of aluminum spanning from ambient to warm dense matter conditions using a machine-learned interatomic potential (ML-IAP…
Averaging over atom snapshots in linear-response TDDFT of disordered systems: A case study of warm dense hydrogen
Zhandos A. Moldabekov, Jan Vorberger, Mani Lokamani +1
Linear-response time-dependent density functional theory (LR-TDDFT) simulations of disordered extended systems require averaging over different snapshots of ion configurations to m…