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Scientific Reports|February 9, 2018
Machine learning of correlated dihedral potentials for atomistic molecular force fieldsPascal Friederich, Manuel Konrad, Timo Strunk, et al.Journal of Chemical Theory and Computation|October 8, 2021
Fast Generation of Machine Learning-Based Force Fields for Adsorption EnergiesSaientan Bag, Manuel Konrad, Tobias Schlöder, et al.Advanced Materials (Deerfield Beach, Fla.)|April 24, 2019
Toward Design of Novel Materials for Organic ElectronicsPascal Friederich, Artem Fediai, Simon Kaiser, et al.Journal of Chemical Theory and Computation|May 4, 2021
Analyzing Dynamical Disorder for Charge Transport in Organic Semiconductors via Machine LearningPatrick Reiser, Manuel Konrad, Artem Fediai, et al.Journal of Chemical Theory and Computation|May 26, 2021
Computing Charging and Polarization Energies of Small Organic Molecules Embedded into Amorphous Materials with Quantum AccuracyJonas Armleder, Timo Strunk, Franz Symalla, et al.Journal of Chemical Theory and Computation|July 12, 2021
CONI-Net: Machine Learning of Separable Intermolecular Force FieldsManuel Konrad, Wolfgang WenzelBeilstein Journal of Nanotechnology|July 15, 2015
Charge carrier mobility and electronic properties of Al(Op)3: impact of excimer formationAndrea Magri, Pascal Friederich, Bernhard Schäfer, et al.Advanced Materials (Deerfield Beach, Fla.)|October 10, 2017
Rational In Silico Design of an Organic Semiconductor with Improved Electron MobilityPascal Friederich, Verónica Gómez, Christian Sprau, 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.Nature Communications|October 9, 2019
Disorder compensation controls doping efficiency in organic semiconductorsArtem Fediai, Franz Symalla, Pascal Friederich, et al.Pageof 21