@misc{Martinka2026a,author={Martinka, Jakub and Sit, Mahesh Kumar and Dral, Pavlo O. and Pittner, Jiří},title={Toward Machine Learning Enhancement of Accelerated Surface Hopping with Scaled Spin--Orbit Couplings},year={2026},month=apr,eprint={2604.25603},archiveprefix={arXiv},primaryclass={physics.chem-ph},}
Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics
Jakub Martinka, Mikołaj Martyka, Biman Medhi, Jiří Pittner, and Pavlo O. Dral
@article{Martinka2026,author={Martinka, Jakub and Martyka, Mikołaj and Medhi, Biman and Pittner, Jiří and Dral, Pavlo O.},journal={Journal of Chemical Theory and Computation},title={Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics},year={2026},issn={1549-9626},month=feb,number={5},pages={2467--2479},volume={22},doi={10.1021/acs.jctc.5c02137},publisher={American Chemical Society (ACS)},}
2025
A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors
Jakub Martinka, Lina Zhang, Yi-Fan Hou, Mikołaj Martyka, Jiří Pittner, Mario Barbatti, and Pavlo O. Dral
@article{Martinka2025,author={Martinka, Jakub and Zhang, Lina and Hou, Yi-Fan and Martyka, Mikołaj and Pittner, Jiří and Barbatti, Mario and Dral, Pavlo O.},journal={J. Phys. Chem. Lett.},title={A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors},year={2025},issn={1948-7185},month=nov,number={45},pages={11732--11744},volume={16},doi={10.1021/acs.jpclett.5c02810},fjournal={The Journal of Physical Chemistry Letters},publisher={American Chemical Society (ACS)},}
2024
A Simple Approach to Rotationally Invariant Machine Learning of a Vector Quantity
Jakub Martinka, Marek Pederzoli, Mario Barbatti, Pavlo O. Dral, and Jiří Pittner
@article{Martinka2024,author={Martinka, Jakub and Pederzoli, Marek and Barbatti, Mario and Dral, Pavlo O. and Pittner, Jiří},journal={J. Chem. Phys.},title={A Simple Approach to Rotationally Invariant Machine Learning of a Vector Quantity},year={2024},issn={1089-7690},month=nov,number={17},volume={161},pages={174104},doi={10.1063/5.0230176},fjournal={The Journal of Chemical Physics},publisher={AIP Publishing},}