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Pascal Friederich

Showing results (1-10 of 52) with videos related to

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Digital Discovery|April 9, 2026
Learning potential energy surfaces of hydrogen atom transfer reactions in peptidesMarlen Neubert, Patrick Reiser, Frauke Gräter, et al.
Scientific Reports|February 9, 2018
Machine learning of correlated dihedral potentials for atomistic molecular force fieldsPascal Friederich, Manuel Konrad, Timo Strunk, et al.
Scientific Reports|August 29, 2019
Concentration dependent energy levels shifts in donor-acceptor mixtures due to intermolecular electrostatic interactionSaientan Bag, Pascal Friederich, Ivan Kondov, et al.
Scientific Data|November 22, 2023
3DSC - a dataset of superconductors including crystal structuresTimo Sommer, Roland Willa, Jörg Schmalian, et al.
Nature Communications|October 9, 2019
Disorder compensation controls doping efficiency in organic semiconductorsArtem Fediai, Franz Symalla, Pascal Friederich, et al.
Nature Materials|May 28, 2021
Machine-learned potentials for next-generation matter simulationsPascal Friederich, Florian Häse, Jonny Proppe, et al.
ACS Applied Materials & Interfaces|December 26, 2017
Built-In Potentials Induced by Molecular Order in Amorphous Organic Thin FilmsPascal Friederich, Vadim Rodin, Florian von Wrochem, et al.
Chemical Science|February 16, 2024
Artificial design of organic emitters <i>via</i> a genetic algorithm enhanced by a deep neural networkAkshatKumar Nigam, Robert Pollice, Pascal Friederich, et al.
Journal of Chemical Theory and Computation|November 21, 2015
Ab Initio Treatment of Disorder Effects in Amorphous Organic Materials: Toward Parameter Free Materials SimulationPascal Friederich, Franz Symalla, Velimir Meded, et al.
Journal of Chemical Information and Modeling|October 1, 2025
The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal-Organic Framework NetworksMehrdad Jalali, A D Dinga Wonanke, Pascal Friederich, et al.
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Digital Discovery|April 9, 2026
Learning potential energy surfaces of hydrogen atom transfer reactions in peptidesMarlen Neubert, Patrick Reiser, Frauke Gräter, et al.
Scientific Reports|February 9, 2018
Machine learning of correlated dihedral potentials for atomistic molecular force fieldsPascal Friederich, Manuel Konrad, Timo Strunk, et al.
Scientific Reports|August 29, 2019
Concentration dependent energy levels shifts in donor-acceptor mixtures due to intermolecular electrostatic interactionSaientan Bag, Pascal Friederich, Ivan Kondov, et al.
Scientific Data|November 22, 2023
3DSC - a dataset of superconductors including crystal structuresTimo Sommer, Roland Willa, Jörg Schmalian, et al.
Nature Communications|October 9, 2019
Disorder compensation controls doping efficiency in organic semiconductorsArtem Fediai, Franz Symalla, Pascal Friederich, et al.
Nature Materials|May 28, 2021
Machine-learned potentials for next-generation matter simulationsPascal Friederich, Florian Häse, Jonny Proppe, et al.
ACS Applied Materials & Interfaces|December 26, 2017
Built-In Potentials Induced by Molecular Order in Amorphous Organic Thin FilmsPascal Friederich, Vadim Rodin, Florian von Wrochem, et al.
Chemical Science|February 16, 2024
Artificial design of organic emitters <i>via</i> a genetic algorithm enhanced by a deep neural networkAkshatKumar Nigam, Robert Pollice, Pascal Friederich, et al.
Journal of Chemical Theory and Computation|November 21, 2015
Ab Initio Treatment of Disorder Effects in Amorphous Organic Materials: Toward Parameter Free Materials SimulationPascal Friederich, Franz Symalla, Velimir Meded, et al.
Journal of Chemical Information and Modeling|October 1, 2025
The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal-Organic Framework NetworksMehrdad Jalali, A D Dinga Wonanke, Pascal Friederich, et al.
Pageof 6