output
20202025
most citedMLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows

70 citations

Showing physics.chem-phShow all

7 papers · 1 filter

physics.chem-ph2025★ 39 cited

Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics

Léon E. Cigrang, Basile F. E. Curchod, Rebecca A. Ingle +42

Simulating the coupled electronic and nuclear response of a molecule to light excitation requires the application of nonadiabatic molecular dynamics. However, when faced with a spe…

physics.chem-ph2024★ 5 cited

Extending non-adiabatic rate theory to strong electronic couplings in the Marcus inverted regime

Thomas P Fay

Electron transfer reactions play an essential role in many chemical and biological processes. Fermi's Golden rule, which assumes that the coupling between electronic states is smal…

physics.chem-ph2024★ 5 cited

A simple approach to rotationally invariant machine learning of avector quantity

Jakub Martinka, Marek Pederzoli, Mario Barbatti +2

Unlike with the energy, which is a scalar property, machine learning (ML) predictions of vector or tensor properties poses the additional challenge of achieving proper invariance (…

physics.chem-ph2024★ 31 cited

MLatom software ecosystem for surface hopping dynamics in Python with quantum mechanical and machine learning methods

Lina Zhang, Sebastian V. Pios, Mikołaj Martyka +7

We present an open-source MLatom@XACS software ecosystem for on-the-fly surface hopping nonadiabatic dynamics based on the Landau-Zener-Belyaev-Lebedev (LZBL) algorithm. The dynami…

physics.chem-ph2023★ 70 cited

MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows

Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou +15

Machine learning (ML) is increasingly becoming a common tool in computational chemistry. At the same time, the rapid development of ML methods requires a flexible software framewor…

physics.chem-ph2022★ 11 cited

Probing the electronic structure and photophysics of thiophene-diketopyrrolopyrrole derivatives in solution

Daniel W Polak, Mariana T do Casal, Josene M Toldo +7

Diketopyrrolopyrroles are a popular class of electron-withdrawing unit in optoelectronic materials. When combined with electron donating side-chain functional groups such as thioph…