Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Philipp Marquetand

Showing results (1-10 of 65) with videos related to

Pageof 7
Sort By:
Chemical Reviews|November 9, 2022
Recent Progress in Electro- and Photocatalyst Discovery with Machine LearningPhilipp Marquetand
Chemical Reviews|November 19, 2020
Machine Learning for Electronically Excited States of MoleculesJulia Westermayr, Philipp Marquetand
The Journal of Chemical Physics|September 4, 2007
Local control theory applied to molecular photoassociationPhilipp Marquetand, Volker Engel
Journal of Chemical Theory and Computation|November 18, 2015
High-Dimensional Neural Network Potentials for Organic Reactions and an Improved Training AlgorithmMichael Gastegger, Philipp Marquetand
Physical Chemistry Chemical Physics : PCCP|January 17, 2015
A spectroscopic study of the cis/trans-isomers of penta-2,4-dienoic acid attached to gold nanoclustersFederico Latorre, Julien Guthmuller, Philipp Marquetand
Chemical Science|November 18, 2017
Machine learning molecular dynamics for the simulation of infrared spectraMichael Gastegger, Jörg Behler, Philipp Marquetand
The Journal of Chemical Physics|February 8, 2013
Resonance Raman spectra of ortho-nitrophenol calculated by real-time time-dependent density functional theoryMartin Thomas, Federico Latorre, Philipp Marquetand
Wiley Interdisciplinary Reviews. Computational Molecular Science|November 20, 2018
Nonadiabatic dynamics: The SHARC approachSebastian Mai, Philipp Marquetand, Leticia González
The Journal of Physical Chemistry Letters|April 21, 2020
Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State DynamicsJulia Westermayr, Michael Gastegger, Philipp Marquetand
Angewandte Chemie (International Ed. in English)|April 28, 2018
Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?Boris Maryasin, Philipp Marquetand, Nuno Maulide
Pageof 7

Showing results (1-10 of 65) with videos related to

Sort By:
Pageof 7
Chemical Reviews|November 9, 2022
Recent Progress in Electro- and Photocatalyst Discovery with Machine LearningPhilipp Marquetand
Chemical Reviews|November 19, 2020
Machine Learning for Electronically Excited States of MoleculesJulia Westermayr, Philipp Marquetand
The Journal of Chemical Physics|September 4, 2007
Local control theory applied to molecular photoassociationPhilipp Marquetand, Volker Engel
Journal of Chemical Theory and Computation|November 18, 2015
High-Dimensional Neural Network Potentials for Organic Reactions and an Improved Training AlgorithmMichael Gastegger, Philipp Marquetand
Physical Chemistry Chemical Physics : PCCP|January 17, 2015
A spectroscopic study of the cis/trans-isomers of penta-2,4-dienoic acid attached to gold nanoclustersFederico Latorre, Julien Guthmuller, Philipp Marquetand
Chemical Science|November 18, 2017
Machine learning molecular dynamics for the simulation of infrared spectraMichael Gastegger, Jörg Behler, Philipp Marquetand
The Journal of Chemical Physics|February 8, 2013
Resonance Raman spectra of ortho-nitrophenol calculated by real-time time-dependent density functional theoryMartin Thomas, Federico Latorre, Philipp Marquetand
Wiley Interdisciplinary Reviews. Computational Molecular Science|November 20, 2018
Nonadiabatic dynamics: The SHARC approachSebastian Mai, Philipp Marquetand, Leticia González
The Journal of Physical Chemistry Letters|April 21, 2020
Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State DynamicsJulia Westermayr, Michael Gastegger, Philipp Marquetand
Angewandte Chemie (International Ed. in English)|April 28, 2018
Machine Learning for Organic Synthesis: Are Robots Replacing Chemists?Boris Maryasin, Philipp Marquetand, Nuno Maulide
Pageof 7