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20122026
most citedMachine Learning Molecular Dynamics for the Simulation of Infrared Spectra

519 citations · 3k across the 38 of their papers we have counts for

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5 papers · 1 filter

physics.chem-ph2017★ 305 cited

WACSF - Weighted Atom-Centered Symmetry Functions as Descriptors in Machine Learning Potentials

Michael Gastegger, Ludwig Schwiedrzik, Marius Bittermann +2

We introduce weighted atom-centered symmetry functions (wACSFs) as descriptors of a chemical system's geometry for use in the prediction of chemical properties such as enthalpies o…

physics.chem-ph2017★ 519 cited

Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra

Michael Gastegger, Jörg Behler, Philipp Marquetand

Machine learning has emerged as an invaluable tool in many research areas. In the present work, we harness this power to predict highly accurate molecular infrared spectra with unp…

physics.chem-ph2017★ 1 cited

Ultrafast Intersystem Crossing in SO and Nucleobases

Sebastian Mai, Martin Richter, Philipp Marquetand +1

Mixed quantum-classical dynamics simulations show that intersystem crossing between singlet and triplet states in SO and in nucleobases takes place on an ultrafast timescale (f…

physics.chem-ph2017★ 57 cited

Excitation of Nucleobases from a Computational Perspective II: Dynamics

Sebastian Mai, Martin Richter, Philipp Marquetand +1

This Chapter is devoted to unravel the relaxation processes taking place after photoexcitation of isolated DNA/RNA nucleobases in gas phase from a time-dependent perspective. To th…

physics.chem-ph2017★ 292 cited

A general method to describe intersystem crossing dynamics in trajectory surface hopping

Sebastian Mai, Philipp Marquetand, Leticia González

Intersystem crossing is a radiationless process that can take place in a molecule irradiated by UV-Vis light, thereby playing an important role in many environmental, biological an…