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Patrick Rinke

Showing results (41-50 of 64) with videos related to

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Scientific Data|January 3, 2026
TheMeCat: Dataset of Thermocatalytic Conversion of CO<sub>2</sub> to MethanolÁrpád I Toldy, Prajwal Pisal, Ondřej Krejčí, et al.
MRS Bulletin|March 7, 2022
Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate modelsSoo-Ah Jin, Tero Kämäräinen, Patrick Rinke, et al.
ACS Nano|May 4, 2017
Charge-Transfer-Driven Nonplanar Adsorption of F<sub>4</sub>TCNQ Molecules on Epitaxial GrapheneAvijit Kumar, Kaustuv Banerjee, Marc Dvorak, et al.
Physical Chemistry Chemical Physics : PCCP|July 4, 2025
Predicting intersystem crossing rate constants of alkoxy-radical pairs with structure-based descriptors and machine learningRashid R Valiev, Rinat T Nasibullin, Hilda Sandström, et al.
Journal of Chemical Theory and Computation|June 13, 2022
Molecular Conformer Search with Low-Energy Latent SpaceXiaomi Guo, Lincan Fang, Yong Xu, et al.
The Journal of Chemical Physics|June 3, 2019
Chemical diversity in molecular orbital energy predictions with kernel ridge regressionAnnika Stuke, Milica Todorović, Matthias Rupp, et al.
Physical Review Letters|August 29, 2014
Bond breaking and bond formation: how electron correlation is captured in many-body perturbation theory and density-functional theoryFabio Caruso, Daniel R Rohr, Maria Hellgren, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 9, 2019
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation SpectraKunal Ghosh, Annika Stuke, Milica Todorović, et al.
The Journal of Chemical Physics|November 12, 2013
Large work function reduction by adsorption of a molecule with a negative electron affinity: pyridine on ZnO(1010)Oliver T Hofmann, Jan-Christoph Deinert, Yong Xu, et al.
Scientific Data|February 20, 2020
Atomic structures and orbital energies of 61,489 crystal-forming organic moleculesAnnika Stuke, Christian Kunkel, Dorothea Golze, et al.
Pageof 7

Showing results (41-50 of 64) with videos related to

Sort By:
Pageof 7
Scientific Data|January 3, 2026
TheMeCat: Dataset of Thermocatalytic Conversion of CO<sub>2</sub> to MethanolÁrpád I Toldy, Prajwal Pisal, Ondřej Krejčí, et al.
MRS Bulletin|March 7, 2022
Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate modelsSoo-Ah Jin, Tero Kämäräinen, Patrick Rinke, et al.
ACS Nano|May 4, 2017
Charge-Transfer-Driven Nonplanar Adsorption of F<sub>4</sub>TCNQ Molecules on Epitaxial GrapheneAvijit Kumar, Kaustuv Banerjee, Marc Dvorak, et al.
Physical Chemistry Chemical Physics : PCCP|July 4, 2025
Predicting intersystem crossing rate constants of alkoxy-radical pairs with structure-based descriptors and machine learningRashid R Valiev, Rinat T Nasibullin, Hilda Sandström, et al.
Journal of Chemical Theory and Computation|June 13, 2022
Molecular Conformer Search with Low-Energy Latent SpaceXiaomi Guo, Lincan Fang, Yong Xu, et al.
The Journal of Chemical Physics|June 3, 2019
Chemical diversity in molecular orbital energy predictions with kernel ridge regressionAnnika Stuke, Milica Todorović, Matthias Rupp, et al.
Physical Review Letters|August 29, 2014
Bond breaking and bond formation: how electron correlation is captured in many-body perturbation theory and density-functional theoryFabio Caruso, Daniel R Rohr, Maria Hellgren, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|May 9, 2019
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation SpectraKunal Ghosh, Annika Stuke, Milica Todorović, et al.
The Journal of Chemical Physics|November 12, 2013
Large work function reduction by adsorption of a molecule with a negative electron affinity: pyridine on ZnO(1010)Oliver T Hofmann, Jan-Christoph Deinert, Yong Xu, et al.
Scientific Data|February 20, 2020
Atomic structures and orbital energies of 61,489 crystal-forming organic moleculesAnnika Stuke, Christian Kunkel, Dorothea Golze, et al.
Pageof 7