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Riccardo Conte

Showing results (31-40 of 85) with videos related to

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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 moleculesPaul L Houston, Riccardo Conte, Joel M Bowman
The Journal of Chemical Physics|July 9, 2025
An extended semiclassical initial value representation approach to IR spectroscopyCecilia 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 hydratesZahra Homayoon, Riccardo Conte, Chen Qu, et al.
Chemical Science|December 14, 2018
Protonated glycine supramolecular systems: the need for quantum dynamicsFabio 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 H2Riccardo 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 dynamicsPaul Houston, Riccardo Conte, Chen Qu, et al.
The Journal of Chemical Physics|May 10, 2014
Graphics processing units accelerated semiclassical initial value representation molecular dynamicsDario Tamascelli, Francesco Saverio Dambrosio, Riccardo Conte, et al.
The Journal of Chemical Physics|July 1, 2019
Semiclassical vibrational spectroscopy with Hessian databasesRiccardo 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 PotentialsChen 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-methylacetamideMichele Gandolfi, Alessandro Rognoni, Chiara Aieta, et al.
Pageof 9

Showing results (31-40 of 85) with videos related to

Sort By:
Pageof 9
The Journal of Physical Chemistry. A|April 25, 2015
A model for energy transfer in collisions of atoms with highly excited moleculesPaul L Houston, Riccardo Conte, Joel M Bowman
The Journal of Chemical Physics|July 9, 2025
An extended semiclassical initial value representation approach to IR spectroscopyCecilia 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 hydratesZahra Homayoon, Riccardo Conte, Chen Qu, et al.
Chemical Science|December 14, 2018
Protonated glycine supramolecular systems: the need for quantum dynamicsFabio 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 H2Riccardo 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 dynamicsPaul Houston, Riccardo Conte, Chen Qu, et al.
The Journal of Chemical Physics|May 10, 2014
Graphics processing units accelerated semiclassical initial value representation molecular dynamicsDario Tamascelli, Francesco Saverio Dambrosio, Riccardo Conte, et al.
The Journal of Chemical Physics|July 1, 2019
Semiclassical vibrational spectroscopy with Hessian databasesRiccardo 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 PotentialsChen 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-methylacetamideMichele Gandolfi, Alessandro Rognoni, Chiara Aieta, et al.
Pageof 9