Computational Photochemistry in the Long Timescale: Sub-ns Photoprocesses in DNA

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proposal and implementation of standard data formats complying with the H2020 Open Research Data pilot: a data management plan

Publikacje

On the origin of the shift between vertical excitation and band maximum in molecular photoabsorption

Autorzy: Shuming Bai, Ritam Mansour, Ljiljana Stojanović, Josene M. Toldo, Mario Barbatti
Opublikowane w: Journal of Molecular Modeling, Numer 26/5, 2020, Strona(/y) 107, ISSN 1610-2940
Wydawca: Springer Verlag
DOI: 10.1007/s00894-020-04355-y

Molecular excited states through a machine learning lens

Autorzy: Pavlo O. Dral, Mario Barbatti
Opublikowane w: Nature Reviews Chemistry, Numer 5, 2021, ISSN 2397-3358
Wydawca: Springer Nature
DOI: 10.1038/s41570-021-00278-1

Ultrafast internal conversion without energy crossing

Autorzy: S. Mukherjee, M. Barbatti
Opublikowane w: Results Chem., Numer 4, 2022, Strona(/y) 100521, ISSN 2211-7156
Wydawca: Elsevier
DOI: 10.1016/j.rechem.2022.100521

Modeling the heating and cooling of a chromophore after photoexcitation

Autorzy: E. Ventura, S. Andrade do Monte, M. T. do Casal, M. Pinheiro Jr., J. M. Toldo, M. Barbatti
Opublikowane w: Phys. Chem. Chem. Phys., Numer 14639076, 2022, Strona(/y) 9403, ISSN 1463-9076
Wydawca: Royal Society of Chemistry
DOI: 10.1039/d2cp00686c

MLatom 2: An Integrative Platform for Atomistic Machine Learning.

Autorzy: Dral, Pavlo O.; Ge, Fuchun; Xue, Bao-Xin; Hou, Yi-Fan; Pinheiro, Max; Huang, Jianxing; Barbatti, Mario
Opublikowane w: Topics in current chemistry, Numer 379, 2021, ISSN 0340-1022
Wydawca: Springer Verlag
DOI: 10.1007/s41061-021-00339-5

Role of the Hydrogen Bond on the Internal Conversion of Photoexcited Adenosine

Autorzy: R. Mansour, J. M. Toldo, M. Barbatti.
Opublikowane w: J. Phys. Chem. Lett., Numer 19487185, 2022, Strona(/y) 6194, ISSN 1948-7185
Wydawca: American Chemical Society
DOI: 10.1021/acs.jpclett.2c01554

Simulations of molecular photodynamics in long timescales

Autorzy: Saikat Mukherjee, Max Pinheiro Jr, Baptiste Demoulin, Mario Barbatti
Opublikowane w: Philosophical Transactions of the Royal Society of London, Series A: Physical Sciences and Engineering, Numer 380, 2022, Strona(/y) 20200382, ISSN 1364-503X
Wydawca: Royal Society of London
DOI: 10.1098/10.1098/rsta-2020-0382

Newton-X Platform: New Software Developments for Surface Hopping and Nuclear Ensembles

Autorzy: M. Barbatti, M. Bondanza, R. Crespo-Otero, B. Demoulin, P. O. Dral, G. Granucci, F. Kossoski, H. Lischka, B. Mennucci, S. Mukherjee, M. Pederzoli, M. Persico, M. Pinheiro Jr, J. Pittner, F. Plasser, E. Sangiogo Gil, L. Stojanovic
Opublikowane w: J. Chem. Theory Comput., Numer 15499618, 2022, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.2c00804

Machine Learning for Absorption Cross Sections

Autorzy: Bao-Xin Xue, Mario Barbatti, Pavlo O. Dral
Opublikowane w: The Journal of Physical Chemistry A, Numer 124/35, 2020, Strona(/y) 7199-7210, ISSN 1089-5639
Wydawca: American Chemical Society
DOI: 10.1021/acs.jpca.0c05310

Velocity Adjustment in Surface Hopping: Ethylene as a Case Study of the Maximum Error Caused by Direction Choice

Autorzy: Mario Barbatti
Opublikowane w: Journal of Chemical Theory and Computation, 2021, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.1c00012

Simulation of Excitation by Sunlight in Mixed Quantum-Classical Dynamics

Autorzy: Mario Barbatti
Opublikowane w: Journal of Chemical Theory and Computation, Numer 16/8, 2020, Strona(/y) 4849-4856, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.0c00501

Defining the Temperature of an Isolated Molecule

Autorzy: Mario Barbatti
Opublikowane w: Journal of Chemical Physics, 2022, Strona(/y) accepted, ISSN 0021-9606
Wydawca: American Institute of Physics
DOI: 10.26434/chemrxiv-2022-5kr7s-v2

Pre-Dewar structure modulates protonated azaindole photodynamics

Autorzy: R. Mansour, S. Mukherjee, M. Pinheiro Jr, J. A. Noble, C. Jouvet, M. Barbatti
Opublikowane w: Phys. Chem. Chem. Phys., Numer 14639076, 2022, Strona(/y) 1234c, ISSN 1463-9076
Wydawca: Royal Society of Chemistry
DOI: 10.1039/d2cp01056a

Trajectory Surface Hopping for a Polarizable Embedding QM/MM

Autorzy: M. Bondanza, B. Demoulin, F. Lipparini, M. Barbatti, B. Mennucci
Opublikowane w: J. Phys. Chem. A, Numer 10895639, 2022, Strona(/y) 6780, ISSN 1089-5639
Wydawca: American Chemical Society
DOI: 10.1021/acs.jpca.2c04756

Fewest switches surface hopping with Baeck-An couplings

Autorzy: Mariana T. do Casal; Josene M. Toldo; Max Pinheiro; Mario Barbatti
Opublikowane w: Open Research Europe, Numer 1, 2021, ISSN 2732-5121
Wydawca: F1000 Research Limited
DOI: 10.12688/openreseurope.13624.1

Choosing the right molecular machine learning potential

Autorzy: Max Pinheiro; Fuchun Ge; Nicolas Ferré; Pavlo O. Dral; Mario Barbatti; Mario Barbatti
Opublikowane w: Chemical Science, Numer 12, 2021, ISSN 2041-6520
Wydawca: Royal Society of Chemistry
DOI: 10.1039/d1sc03564a

Non-Kasha fluorescence of pyrene emerges from a dynamic equilibrium between excited states

Autorzy: G. Braun, I. Borges Jr, A. Aquino, H. Lischka, F. Plasser, S. A. do Monte, E. Ventura, S. Mukherjee, M. Barbatti
Opublikowane w: J. Chem. Phys., Numer 10895639, 2022, ISSN 1089-5639
Wydawca: American Chemical Society
DOI: 10.1063/5.0113908

A Hessian free method to prevent zero-point energy leakage in classical trajectories

Autorzy: S. Mukherjee, M. Barbatti
Opublikowane w: J. Chem. Theory Comp, Numer 15499618, 2022, Strona(/y) 4109, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.2c00216

Excited-state dynamics with machine learning

Autorzy: L. Zhang, A. Ullah, M. Pinheiro Jr, P. O. Dral, M. Barbatti
Opublikowane w: Quantum chemistry in the age of machine learning, 2022, Strona(/y) 329, ISBN 9780323900492
Wydawca: Elsevier
DOI: 10.1016/b978-0-323-90049-2.00008-1

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