560 citations · 776 across the 11 of their papers we have counts for
17 papers
Machine learning potentials from transfer learning of periodic correlated electronic structure methods: Application to liquid water with AFQMC, CCSD, and CCSD(T)
Michael S. Chen, Joonho Lee, Hong-Zhou Ye +3
Obtaining the atomistic structure and dynamics of disordered condensed phase systems from first principles remains one of the forefront challenges of chemical theory. Here we explo…
Characterizing and contrasting structural proton transport mechanisms in azole hydrogen bond networks using ab initio molecular dynamics
Austin O. Atsango, Mark E. Tuckerman, Thomas E. Markland
Imidazole and 1,2,3-triazole are promising hydrogen-bonded heterocycles that conduct protons via a structural mechanism and whose derivatives are present in systems ranging from bi…
Elucidating the proton transport pathways in liquid imidazole with first-principles molecular dynamics
Zhuoran Long, Austin O. Atsango, Joseph A. Napoli +2
Imidazole is a promising anhydrous proton conductor with a high conductivity comparable to that of water at a similar temperature relative to its melting point. Previous theoretica…
AENET-LAMMPS and AENET-TINKER: Interfaces for Accurate and Efficient Molecular Dynamics Simulations with Machine Learning Potentials
Michael S. Chen, Tobias Morawietz, Hideki Mori +2
Machine learning potentials (MLPs) trained on data from quantum-mechanics based first-principles methods can approach the accuracy of the reference method at a fraction of the comp…
Excited state diabatization on the cheap using DFT: Photoinduced electron and hole transfer
Yuezhi Mao, Andres Montoya-Castillo, Thomas E. Markland
Excited state electron and hole transfer underpin fundamental steps in processes such as exciton dissociation at photovoltaic heterojunctions, photoinduced charge transfer at elect…
Exploiting machine learning to efficiently predict multidimensional optical spectra in complex environments
Michael S. Chen, Tim J. Zuehlsdorff, Tobias Morawietz +2
The excited state dynamics of chromophores in complex environments determine a range of vital biological and energy capture processes. Time-resolved, multidimensional optical spect…