1 citations · 1 across the 1 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2021★ 1 cited
Efficient Gaussian Process Regression for prediction of molecular crystals harmonic free energies
Marcin Krynski, Mariana Rossi
We present a method to accurately predict the Helmholtz harmonic free energies of molecular crystals in high-throughput settings. This is achieved by devising a computationally eff…
physics.chem-ph2020
Nuclear dynamics of singlet exciton fission: a direct observation in pentacene single crystals
Hélène Seiler, Marcin Krynski, Daniela Zahn +7
Singlet exciton fission (SEF) is a key process in the development of efficient opto-electronic devices. An aspect that is rarely probed directly, and yet has a tremendous impact on…
cond-mat.mtrl-sci2017
Gaussian approximation potential modeling of lithium intercalation in carbon nanostructures
So Fujikake, Volker L. Deringer, Tae Hoon Lee +3
We demonstrate how machine-learning based interatomic potentials can be used to model guest atoms in host structures. Specifically, we generate Gaussian approximation potential (GA…