Viktor Zaverkin
5PUBLICATIONS
11CO-AUTHORS
Get your video featured.
Publish with JoVEGet your video featured.
Publish with JoVE
Publications (5)
Sort by Publication Date:
|Feb 05, 2026
Performance of Universal Machine-Learned Potentials with Explicit Long-Range Interactions in Biomolecular Simulations.Viktor Zaverkin, Matheus Ferraz, Francesco Alesiani
|Nov 11, 2025
Fast, modular, and differentiable framework for machine learning-enhanced molecular simulations.Henrik Christiansen, Takashi Maruyama, Federico Errica
|Feb 07, 2023
Transfer learning for chemically accurate interatomic neural network potentials.Viktor Zaverkin, David Holzmüller, Luca Bonfirraro
|Dec 09, 2021
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments.Viktor Zaverkin, Julia Netz, Fabian Zills
|Sep 29, 2021
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments.Viktor Zaverkin, David Holzmüller, Ingo Steinwart
Pageof 1
Frequent Collaborators
3 joint publications
Johannes Kästner
2 joint publications
David Holzmüller
1 joint publications
Ingo Steinwart
1 joint publications
Julia Netz
1 joint publications
Andreas Köhn
1 joint publications
Luca Bonfirraro
1 joint publications
Henrik Christiansen
1 joint publications
Takashi Maruyama
1 joint publications
Federico Errica
1 joint publications
Makoto Takamoto
