2 citations · 2 across the 5 of their papers we have counts for
6 papers
Systematic Fine-Tuning of MACE Interatomic Potentials for Catalysis
Nima Karimitari, Jacob Clary, Derek Vigil-Fowler +3
Once trained, machine-learned interatomic potentials (MLIPs) provide a fast and accurate way to study catalytic reaction pathways, but their performance strongly depends on the tra…
Development of machine-learned interatomic potentials to predict structure, transport, and reactivity in platinum-based fuel cells
Kamron Fazel, Sam Brown, Jacob Clary +5
Machine-learned interatomic potentials (MLIPs) have rapidly progressed in accuracy, speed, and data efficiency in recent years. However, training robust MLIPs in multicomponent sys…
Static Subspace Approximation for Random Phase Approximation Correlation Energies: Implementation and Performance
Daniel Weinberg, Olivia A. Hull, Jacob M. Clary +3
Developing theoretical understanding of complex reactions and processes at interfaces requires using methods that go beyond semilocal density functional theory to accurately descri…
BEAST DB: Grand-Canonical Database of Electrocatalyst Properties
Cooper Tezak, Jacob Clary, Sophie Gerits +12
We present BEAST DB, an open-source database comprised of ab initio electrochemical data computed using grand-canonical density functional theory in implicit solvent at consistent…
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules
Jacob M. Clary, Eric B. Jones, Derek Vigil-Fowler +2
Materials simulations involving strongly correlated electrons pose fundamental challenges to state-of-the-art electronic structure methods but are hypothesized to be the ideal use…
Alloying behavior of wide band gap alkaline-earth chalcogenides
Samantha L. Millican, Jacob M. Clary, Christopher J. Bartel +3
Alloying is a powerful tool for tuning materials that facilitates the targeted design of desirable properties for a variety of applications. In this work, we provide a comprehensiv…