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The Journal of Physical Chemistry Letters
|
January 11, 2018
How do London Dispersion Interactions Impact the Photochemical Processes of Molecular Switches?
Alberto Fabrizio, Clémence Corminboeuf
Inorganic Chemistry
|
October 15, 2016
Quantum Chemical Study of the Water Exchange Mechanism of the Americyl(VI) Aqua Ion
Alberto Fabrizio, François P Rotzinger
The Journal of Chemical Physics
|
April 24, 2020
Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals
Alberto Fabrizio, Benjamin Meyer, Clemence Corminboeuf
Physical Chemistry Chemical Physics : PCCP
|
November 29, 2016
Rationalizing fluorescence quenching in meso-BODIPY dyes
Antonio Prlj, Alberto Fabrizio, Clemence Corminboeuf
Journal of Chemical Theory and Computation
|
April 23, 2020
Balancing Density Functional Theory Interaction Energies in Charged Dimers Precursors to Organic Semiconductors
Alberto Fabrizio, Riccardo Petraglia, Clemence Corminboeuf
The Journal of Chemical Physics
|
July 16, 2021
Impact of quantum-chemical metrics on the machine learning prediction of electron density
Ksenia R Briling, Alberto Fabrizio, Clemence Corminboeuf
Digital Discovery
|
June 30, 2022
SPA<sup>H</sup>M: the spectrum of approximated Hamiltonian matrices representations
Alberto Fabrizio, Ksenia R Briling, Clemence Corminboeuf
Chimia
|
December 30, 2019
Quantum Chemistry Meets Machine Learning
Alberto Fabrizio, Benjamin Meyer, Raimon Fabregat, et al.
Chimia
|
April 26, 2020
Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity
Alberto Fabrizio, Ksenia Briling, Andrea Grisafi, et al.
The Journal of Physical Chemistry Letters
|
June 22, 2021
Learning the Exciton Properties of Azo-dyes
Sergi Vela, Alberto Fabrizio, Ksenia R Briling, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
The Journal of Physical Chemistry Letters
|
January 11, 2018
How do London Dispersion Interactions Impact the Photochemical Processes of Molecular Switches?
Alberto Fabrizio, Clémence Corminboeuf
Inorganic Chemistry
|
October 15, 2016
Quantum Chemical Study of the Water Exchange Mechanism of the Americyl(VI) Aqua Ion
Alberto Fabrizio, François P Rotzinger
The Journal of Chemical Physics
|
April 24, 2020
Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals
Alberto Fabrizio, Benjamin Meyer, Clemence Corminboeuf
Physical Chemistry Chemical Physics : PCCP
|
November 29, 2016
Rationalizing fluorescence quenching in meso-BODIPY dyes
Antonio Prlj, Alberto Fabrizio, Clemence Corminboeuf
Journal of Chemical Theory and Computation
|
April 23, 2020
Balancing Density Functional Theory Interaction Energies in Charged Dimers Precursors to Organic Semiconductors
Alberto Fabrizio, Riccardo Petraglia, Clemence Corminboeuf
The Journal of Chemical Physics
|
July 16, 2021
Impact of quantum-chemical metrics on the machine learning prediction of electron density
Ksenia R Briling, Alberto Fabrizio, Clemence Corminboeuf
Digital Discovery
|
June 30, 2022
SPA<sup>H</sup>M: the spectrum of approximated Hamiltonian matrices representations
Alberto Fabrizio, Ksenia R Briling, Clemence Corminboeuf
Chimia
|
December 30, 2019
Quantum Chemistry Meets Machine Learning
Alberto Fabrizio, Benjamin Meyer, Raimon Fabregat, et al.
Chimia
|
April 26, 2020
Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity
Alberto Fabrizio, Ksenia Briling, Andrea Grisafi, et al.
The Journal of Physical Chemistry Letters
|
June 22, 2021
Learning the Exciton Properties of Azo-dyes
Sergi Vela, Alberto Fabrizio, Ksenia R Briling, et al.
Page
of 3