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Moritz R Schäfer

Showing results (1-10 of 6) with videos related to

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Journal of Chemical Theory and Computation|February 2, 2026
Enhanced Representation-Based Sampling for the Efficient Generation of Data Sets for Machine-Learned Interatomic PotentialsMoritz R Schäfer, Johannes Kästner
The Journal of Chemical Physics|April 30, 2022
Adaptive fitting of potential energy surfaces of small to medium-sized molecules in sum-of-product form: Application to vibrational spectroscopyAntoine Aerts, Moritz R Schäfer, Alex Brown
The Journal of Chemical Physics|March 3, 2025
Accuracy of charge densities in electronic structure calculationsMoritz Gubler, Moritz R Schäfer, Jörg Behler, et al.
Journal of Chemical Information and Modeling|July 30, 2025
Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic PotentialsMoritz R Schäfer, Nico Segreto, Fabian Zills, et al.
Journal of Chemical Theory and Computation|August 16, 2024
Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge EquilibrationMoritz Gubler, Jonas A Finkler, Moritz R Schäfer, et al.
Angewandte Chemie (International Ed. in English)|October 2, 2020
Towards Understanding the Reactivity and Optical Properties of Organosilicon Sulfide ClustersKatharina Hanau, Sebastian Schwan, Moritz R Schäfer, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|February 2, 2026
Enhanced Representation-Based Sampling for the Efficient Generation of Data Sets for Machine-Learned Interatomic PotentialsMoritz R Schäfer, Johannes Kästner
The Journal of Chemical Physics|April 30, 2022
Adaptive fitting of potential energy surfaces of small to medium-sized molecules in sum-of-product form: Application to vibrational spectroscopyAntoine Aerts, Moritz R Schäfer, Alex Brown
The Journal of Chemical Physics|March 3, 2025
Accuracy of charge densities in electronic structure calculationsMoritz Gubler, Moritz R Schäfer, Jörg Behler, et al.
Journal of Chemical Information and Modeling|July 30, 2025
Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic PotentialsMoritz R Schäfer, Nico Segreto, Fabian Zills, et al.
Journal of Chemical Theory and Computation|August 16, 2024
Accelerating Fourth-Generation Machine Learning Potentials Using Quasi-Linear Scaling Particle Mesh Charge EquilibrationMoritz Gubler, Jonas A Finkler, Moritz R Schäfer, et al.
Angewandte Chemie (International Ed. in English)|October 2, 2020
Towards Understanding the Reactivity and Optical Properties of Organosilicon Sulfide ClustersKatharina Hanau, Sebastian Schwan, Moritz R Schäfer, et al.
Pageof 1