1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning Between the Lines: Interaction Interpolation in a Multi Element Machine Learning Interatomic Potential
Ademola Soyemi, Kipton Barros, Timothy C. Germann +2
The continuous development of machine learning inter-atomic potentials (MLIAPs)has greatly accelerated materials research in recent years. However, the need to con- struct custom M…
Stoichiometry Dependent Properties of Cerium Hydride: An Active Learning Developed Interatomic Potential Study
Brenden W. Hamilton, Travis E. Jones, Timothy C. Germann +1
Cerium hydride has a variety of interesting properties, including a known lattice contraction and densification with increasing hydrogen content. However, precise stoichiometric co…
Simulating nationwide coupled disease and fear spread in an agent-based model
Joy Kitson, Prescott C. Alexander, Joseph Tuccillo +5
Human cognitive responses, behavioral responses, and disease dynamics co-evolve over the course of any disease outbreak, and can result in complex feedbacks. We present a dynamic a…
Epicast 2.0: A large-scale, demographically detailed, agent-based model for simulating respiratory pathogen spread in the United States
Prescott C. Alexander, Thomas J. Harris, Joy Kitson +3
The recent history of respiratory pathogen epidemics, including those caused by influenza and SARS-CoV-2, has highlighted the urgent need for advanced modeling approaches that can…