94 citations · 94 across the 2 of their papers we have counts for
3 papers
Convergence Acceleration in Machine Learning Potentials for Atomistic Simulations
Dylan Bayerl, Christopher M. Andolina, Shyam Dwaraknath +1
Machine learning potentials (MLPs) for atomistic simulations have an enormous prospective impact on materials modeling, offering orders of magnitude speedup over density functional…
Room-temperature stability of excitons and transverse-electric polarized deep-ultraviolet luminescence in atomically thin GaN quantum wells
Dylan Bayerl, Emmanouil Kioupakis
Quantum confinement profoundly affects the properties and interactions of electrons, holes, and excitons in nanomaterials. We apply first-principles calculations to study the effec…
First-Principles Calculations of the Near-Edge Optical Properties of \b{eta}-Ga2O3
Kelsey A. Mengle, Guangsha Shi, Dylan Bayerl +1
We use first-principles calculations based on many-body perturbation theory to investigate the near-edge electronic and optical properties of \b{eta}-Ga2O3. The fundamental band ga…