shnitsel-data
SHNITSEL-DATA
... is a compilation of surface hopping datasets that offers high-quality quantum chemical data (e.g. energies, forces, nonadiabatic couplings) of photochemical reactions; ideal for benchmarking and machine learning applications.

SHNITSEL Molecules


SHNITSEL

Surface Hopping Datasets




Below you will find links to the datasheets for the dynamic data included in shnitsel-data. These were parsed from SHARC and Newton-X trajectory surface hopping outputs and generated using shnitsel-tools.



dynamic

Surface Hopping trajectory ensemble (#338 trajectories)

dynamic

Surface Hopping trajectory ensemble (#408 trajectories)

dynamic

Surface Hopping trajectory ensemble (#58 trajectories)

dynamic

Surface Hopping trajectory ensemble (#200 trajectories)

dynamic (a)

Surface Hopping trajectory ensemble (#118 trajectories)

dynamic (b)

Surface Hopping trajectory ensemble (#18 trajectories)



Publications with Surface Hopping Datasets




A01-A03

S. Mausenberger, C. Müller, A. Tkatchenko, P. Marquetand, L. Gonzalez, J. Westermayr
SpaiNN: equivariant message passing for excited-state nonadiabatic molecular dynamics
Chem. Sci. 2024 , DOI: 10.1039/D4SC04164J



R02

I. Polyak, L. Hutton, R. Crespo-Otero, M. Barbatti, P. J. Knowles
Ultrafast Photoinduced Dynamics of 1,3-Cyclohexadiene Using XMS-CASPT2 Surface Hopping
Journal of Chemical Theory and Computation 2019 , 15  (7) , 3929-3940 , DOI: 10.1021/acs.jctc.9b00396



I01

J. Westermayr, M. Gastegger, M. Menger, S. Mai, L. González, P. Marquetand
Machine learning enables long time scale molecular photodynamics simulations
Chem. Sci. 2019 , 150 , 8100-8107 , DOI: 10.1039/C9SC01742