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The Journal of Physical Chemistry. A
|
April 25, 2015
A model for energy transfer in collisions of atoms with highly excited molecules
Paul L Houston, Riccardo Conte, Joel M Bowman
The Journal of Chemical Physics
|
July 9, 2025
An extended semiclassical initial value representation approach to IR spectroscopy
Cecilia Lanzi, Chiara Aieta, Michele Ceotto, et al.
The Journal of Chemical Physics
|
September 3, 2015
Full-dimensional, high-level ab initio potential energy surfaces for H2(H2O) and H2(H2O)2 with application to hydrogen clathrate hydrates
Zahra Homayoon, Riccardo Conte, Chen Qu, et al.
Chemical Science
|
December 14, 2018
Protonated glycine supramolecular systems: the need for quantum dynamics
Fabio Gabas, Giovanni Di Liberto, Riccardo Conte, et al.
The Journal of Chemical Physics
|
August 2, 2013
A novel Gaussian Binning (1GB) analysis of vibrational state distributions in highly excited H2O from reactive quenching of OH∗ by H2
Riccardo Conte, Bina Fu, Eugene Kamarchik, et al.
The Journal of Chemical Physics
|
July 17, 2020
Permutationally invariant polynomial potential energy surfaces for tropolone and H and D atom tunneling dynamics
Paul Houston, Riccardo Conte, Chen Qu, et al.
The Journal of Chemical Physics
|
May 10, 2014
Graphics processing units accelerated semiclassical initial value representation molecular dynamics
Dario Tamascelli, Francesco Saverio Dambrosio, Riccardo Conte, et al.
The Journal of Chemical Physics
|
July 1, 2019
Semiclassical vibrational spectroscopy with Hessian databases
Riccardo Conte, Fabio Gabas, Giacomo Botti, et al.
The Journal of Physical Chemistry. A
|
December 3, 2024
Dynamics Calculations of the Flexibility and Vibrational Spectrum of the Linear Alkane C<sub>14</sub>H<sub>30</sub>, Based on Machine-Learned Potentials
Chen Qu, Paul L Houston, Riccardo Conte, et al.
The Journal of Chemical Physics
|
December 2, 2020
Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to N-methylacetamide
Michele Gandolfi, Alessandro Rognoni, Chiara Aieta, et al.
Page
of 9
Search research articles
Search
Showing results (31-40 of 85) with videos related to
Sort By:
Page
of 9
The Journal of Physical Chemistry. A
|
April 25, 2015
A model for energy transfer in collisions of atoms with highly excited molecules
Paul L Houston, Riccardo Conte, Joel M Bowman
The Journal of Chemical Physics
|
July 9, 2025
An extended semiclassical initial value representation approach to IR spectroscopy
Cecilia Lanzi, Chiara Aieta, Michele Ceotto, et al.
The Journal of Chemical Physics
|
September 3, 2015
Full-dimensional, high-level ab initio potential energy surfaces for H2(H2O) and H2(H2O)2 with application to hydrogen clathrate hydrates
Zahra Homayoon, Riccardo Conte, Chen Qu, et al.
Chemical Science
|
December 14, 2018
Protonated glycine supramolecular systems: the need for quantum dynamics
Fabio Gabas, Giovanni Di Liberto, Riccardo Conte, et al.
The Journal of Chemical Physics
|
August 2, 2013
A novel Gaussian Binning (1GB) analysis of vibrational state distributions in highly excited H2O from reactive quenching of OH∗ by H2
Riccardo Conte, Bina Fu, Eugene Kamarchik, et al.
The Journal of Chemical Physics
|
July 17, 2020
Permutationally invariant polynomial potential energy surfaces for tropolone and H and D atom tunneling dynamics
Paul Houston, Riccardo Conte, Chen Qu, et al.
The Journal of Chemical Physics
|
May 10, 2014
Graphics processing units accelerated semiclassical initial value representation molecular dynamics
Dario Tamascelli, Francesco Saverio Dambrosio, Riccardo Conte, et al.
The Journal of Chemical Physics
|
July 1, 2019
Semiclassical vibrational spectroscopy with Hessian databases
Riccardo Conte, Fabio Gabas, Giacomo Botti, et al.
The Journal of Physical Chemistry. A
|
December 3, 2024
Dynamics Calculations of the Flexibility and Vibrational Spectrum of the Linear Alkane C<sub>14</sub>H<sub>30</sub>, Based on Machine-Learned Potentials
Chen Qu, Paul L Houston, Riccardo Conte, et al.
The Journal of Chemical Physics
|
December 2, 2020
Machine learning for vibrational spectroscopy via divide-and-conquer semiclassical initial value representation molecular dynamics with application to N-methylacetamide
Michele Gandolfi, Alessandro Rognoni, Chiara Aieta, et al.
Page
of 9