168 citations · 168 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2023
Atomic scale understanding of initial Cu-Ni oxidation from machine-learning accelerated first-principles simulations and in situ TEM experiments
Pandu Wisesa, Meng Li, Matthew T. Curnan +3
The development of accurate methods for determining how alloy surfaces spontaneously restructure under reactive and corrosive environments is a key, long-standing, grand challenge…
physics.comp-ph2019★ 168 cited
Rapid Generation of Optimal Generalized Monkhorst-Pack Grids
Yunzhe Wang, Pandu Wisesa, Adarsh Balasubramanian +2
Computational modeling of the properties of crystalline materials has become an increasingly important aspect of materials research, consuming hundreds of millions of CPU-hours at…