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Alberto Fabrizio

Showing results (11-20 of 24) with videos related to

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Chemical Science|June 14, 2021
Data-powered augmented volcano plots for homogeneous catalysisMatthew D Wodrich, Alberto Fabrizio, Benjamin Meyer, et al.
Chemical Science|February 15, 2020
Electron density learning of non-covalent systemsAlberto Fabrizio, Andrea Grisafi, Benjamin Meyer, et al.
Journal of Chemical Theory and Computation|March 28, 2020
Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic ChemistryRaimon Fabregat, Alberto Fabrizio, Benjamin Meyer, et al.
The Journal of Chemical Physics|December 2, 2020
Learning on-top: Regressing the on-top pair density for real-space visualization of electron correlationAlberto Fabrizio, Ksenia R Briling, David D Girardier, et al.
Journal of Chemical Theory and Computation|January 16, 2024
SPA<sup>H</sup>M(a,b): Encoding the Density Information from Guess Hamiltonian in Quantum Machine Learning RepresentationsKsenia R Briling, Yannick Calvino Alonso, Alberto Fabrizio, et al.
The Journal of Physical Chemistry Letters|August 12, 2015
Qualitatively Incorrect Features in the TDDFT Spectrum of Thiophene-Based CompoundsAntonio Prlj, Basile F E Curchod, Alberto Fabrizio, et al.
ACS Central Science|January 30, 2019
Transferable Machine-Learning Model of the Electron DensityAndrea Grisafi, Alberto Fabrizio, Benjamin Meyer, et al.
Chemical Science|December 22, 2022
OSCAR: an extensive repository of chemically and functionally diverse organocatalystsSimone Gallarati, Puck van Gerwen, Ruben Laplaza, et al.
Chemical Science|December 6, 2019
Tuning the structure, reactivity and magnetic communication of nitride-bridged uranium complexes with the ancillary ligandsChad T Palumbo, Luciano Barluzzi, Rosario Scopelliti, et al.
Journal of Chemical Theory and Computation|February 18, 2022
Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of OligopeptidesRaimon Fabregat, Alberto Fabrizio, Edgar A Engel, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Chemical Science|June 14, 2021
Data-powered augmented volcano plots for homogeneous catalysisMatthew D Wodrich, Alberto Fabrizio, Benjamin Meyer, et al.
Chemical Science|February 15, 2020
Electron density learning of non-covalent systemsAlberto Fabrizio, Andrea Grisafi, Benjamin Meyer, et al.
Journal of Chemical Theory and Computation|March 28, 2020
Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic ChemistryRaimon Fabregat, Alberto Fabrizio, Benjamin Meyer, et al.
The Journal of Chemical Physics|December 2, 2020
Learning on-top: Regressing the on-top pair density for real-space visualization of electron correlationAlberto Fabrizio, Ksenia R Briling, David D Girardier, et al.
Journal of Chemical Theory and Computation|January 16, 2024
SPA<sup>H</sup>M(a,b): Encoding the Density Information from Guess Hamiltonian in Quantum Machine Learning RepresentationsKsenia R Briling, Yannick Calvino Alonso, Alberto Fabrizio, et al.
The Journal of Physical Chemistry Letters|August 12, 2015
Qualitatively Incorrect Features in the TDDFT Spectrum of Thiophene-Based CompoundsAntonio Prlj, Basile F E Curchod, Alberto Fabrizio, et al.
ACS Central Science|January 30, 2019
Transferable Machine-Learning Model of the Electron DensityAndrea Grisafi, Alberto Fabrizio, Benjamin Meyer, et al.
Chemical Science|December 22, 2022
OSCAR: an extensive repository of chemically and functionally diverse organocatalystsSimone Gallarati, Puck van Gerwen, Ruben Laplaza, et al.
Chemical Science|December 6, 2019
Tuning the structure, reactivity and magnetic communication of nitride-bridged uranium complexes with the ancillary ligandsChad T Palumbo, Luciano Barluzzi, Rosario Scopelliti, et al.
Journal of Chemical Theory and Computation|February 18, 2022
Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of OligopeptidesRaimon Fabregat, Alberto Fabrizio, Edgar A Engel, et al.
Pageof 3