引用次数
引用: 1,902
H-指数: 28
I10-指数 : 51
出版物: 133
Segmenti di un profilo introduttivo del principio d’eguaglianza
Riccardo Conte
Nóema ( 2)
2011
"Divide and Conquer" Semiclassical Molecular Dynamics: A practical method for Spectroscopic calculations of High Dimensional Molecular Systems
Michele Ceotto , Riccardo Conte , Giovanni Di Liberto
arXiv: Chemical Physics
2018
Anharmonic vibrational eigenfunctions and infrared spectra from semiclassical molecular dynamics
Michele Ceotto , Riccardo Conte , Marco Micciarelli , Jaime Suarez
Journal of Chemical Physics 149 ( 6) 064115
24
2018
A quantum mechanical insight into SN2 reactions: Semiclassical initial value representation calculations of vibrational features of the Cl$^-$--CH$_3$Cl pre-reaction complex with the VENUS suite of codes
M. Ceotto , W. L. Hase , R. Conte , X. Ma
arXiv: Chemical Physics
23
2018
Semiclassical vibrational spectroscopy with Hessian databases
Michele Ceotto , Yu Zhuang , Riccardo Conte , Fabio Gabas
arXiv: Computational Physics
2019
"Divide-and-conquer" semiclassical molecular dynamics: An application to water clusters.
Michele Ceotto , Riccardo Conte , Giovanni Di Liberto
Journal of Chemical Physics 148 ( 10) 104302
27
2018
An effective semiclassical approach to IR spectroscopy.
Michele Ceotto , Riccardo Conte , Fabio Gabas , Marco Micciarelli
Journal of Chemical Physics 150 ( 18) 184113
25
2019
Graphics processing units accelerated semiclassical initial value representation molecular dynamics
Michele Ceotto , Riccardo Conte , Francesco Saverio Dambrosio , Dario Tamascelli
Journal of Chemical Physics 140 ( 17) 174109
37
2014
Improved semiclassical dynamics through adiabatic switching trajectory sampling.
Chiara Aieta , Lorenzo Parma , Alessandro Rognoni , Michele Ceotto
arXiv: Chemical Physics
2019
Delta-Machine Learning for Potential Energy Surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) Level of Theory
Paul Houston , Chen Qu , Riccardo Conte , Joel M. Bowman
arXiv: Chemical Physics
66
2020
Semiclassical Vibrational Spectroscopy with Hessian Databases
Michele Ceotto , Yu Zhuang , Riccardo Conte , Fabio Gabas
Unknown Journal
2019
Breaking the CCSD(T) Barrier for Machine Learned Potentials of Large Molecules: Demonstration for Acetylacetone
Paul Houston , Chen Qu , Riccardo Conte , Joel M. Bowman
2021
Machine Learning for Vibrational Spectroscopy via Divide-and-Conquer Semiclassical Initial Value Representation Molecular Dynamics with Application to N-Methylacetamide
Chiara Aieta , Alessandro Rognoni , Michele Ceotto , Michele Gandolfi
arXiv: Chemical Physics
19
2021
Δ-machine learning for potential energy surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) level of theory.
Paul L. Houston , Chen Qu , Joel M. Bowman , Apurba Nandi
Journal of Chemical Physics 154 ( 5) 051102 -051102
3
2021
Caldeira-Leggett model vs ab initio potential: A vibrational spectroscopy test of water solvation.
Alessandro Rognoni , Michele Ceotto , Riccardo Conte
Journal of Chemical Physics 154 ( 9) 094106 -094106
2021
Breaking the Coupled Cluster Barrier for Machine-Learned Potentials of Large Molecules: The Case of 15-Atom Acetylacetone.
Paul L. Houston , Chen Qu , Riccardo Conte , Joel M. Bowman
Journal of Physical Chemistry Letters 12 ( 20) 4902 -4909
2021
Derivation of an empirical potential for gold with angular corrections
Stéphane Olivier , Riccardo Conte , Alessandro Fortunelli
Physical Review B 77 ( 5) 054104
18
2008
Efficient Generation of Permutationally Invariant Potential Energy Surfaces for Large Molecules
Riccardo Conte , Chen Qu , Paul L. Houston , Joel M. Bowman
Journal of Chemical Theory and Computation 16 ( 5) 3264 -3272
8
2020
Semiclassical Vibrational Spectroscopy of Biological Molecules Using Force Fields.
Fabio Gabas , Riccardo Conte , Michele Ceotto
Journal of Chemical Theory and Computation 16 ( 6) 3476 -3485
7
2020
Continuum limit frozen Gaussian approximation for the reduced thermal density matrix of dissipative systems
Riccardo Conte , Eli Pollak
Journal of Chemical Physics 136 ( 9) 094101 -094101
19
2012