203 citations · 213 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2025★ 203 cited
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs, Dane Morgan, Siamak Attarian +27
The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not exper…
cond-mat.mtrl-sci2024★ 10 cited
Surface roughening in nanoparticle catalysts
Cameron J. Owen, Nicholas Marcella, Christopher R. O'Connor +7
Supported metal nanoparticle (NP) catalysts are vital for the sustainable production of chemicals, but their design and implementation are limited by the ability to identify and ch…
physics.chem-ph2023
A Computational Study and Parameterisation of Phosphatidylinositol Phosphates for Lipid Simulations with AMBER
Clare Yijia Xie
Phosphatidylinositol phosphates (PIPs) are membrane phospholipids that play crucial roles in a wide range of cellular functions. However, there is a dearth of experimental data in…