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Matthias Kellner

Showing results (1-10 of 8) with videos related to

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Journal of Chemical Theory and Computation|May 8, 2026
How to Train a Shallow EnsembleMoritz Schäfer, Matthias Kellner, Johannes Kästner, et al.
Faraday Discussions|September 25, 2024
Prediction rigidities for data-driven chemistrySanggyu Chong, Filippo Bigi, Federico Grasselli, et al.
The Journal of Physical Chemistry Letters|August 18, 2025
A Deep Learning Model for Chemical Shieldings in Molecular Organic Solids Including AnisotropyMatthias Kellner, Jacob B Holmes, Ruben Rodriguez-Madrid, et al.
The Journal of Physical Chemistry Letters|July 29, 2024
Observation of Transient Prenucleation Species of Calcium Carbonate by DNP-Enhanced NMRMartins Balodis, Yu Rao, Gabriele Stevanato, et al.
Digital Discovery|March 12, 2026
A universal machine learning model for the electronic density of statesWei Bin How, Pol Febrer, Sanggyu Chong, et al.
Nature Communications|November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modelingArslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
The Journal of Chemical Physics|February 11, 2026
metatensor and metatomic: Foundational libraries for interoperable atomistic machine learningFilippo Bigi, Joseph W Abbott, Philip Loche, et al.
The Journal of Chemical Physics|August 14, 2024
i-PI 3.0: A flexible and efficient framework for advanced atomistic simulationsYair Litman, Venkat Kapil, Yotam M Y Feldman, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|May 8, 2026
How to Train a Shallow EnsembleMoritz Schäfer, Matthias Kellner, Johannes Kästner, et al.
Faraday Discussions|September 25, 2024
Prediction rigidities for data-driven chemistrySanggyu Chong, Filippo Bigi, Federico Grasselli, et al.
The Journal of Physical Chemistry Letters|August 18, 2025
A Deep Learning Model for Chemical Shieldings in Molecular Organic Solids Including AnisotropyMatthias Kellner, Jacob B Holmes, Ruben Rodriguez-Madrid, et al.
The Journal of Physical Chemistry Letters|July 29, 2024
Observation of Transient Prenucleation Species of Calcium Carbonate by DNP-Enhanced NMRMartins Balodis, Yu Rao, Gabriele Stevanato, et al.
Digital Discovery|March 12, 2026
A universal machine learning model for the electronic density of statesWei Bin How, Pol Febrer, Sanggyu Chong, et al.
Nature Communications|November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modelingArslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
The Journal of Chemical Physics|February 11, 2026
metatensor and metatomic: Foundational libraries for interoperable atomistic machine learningFilippo Bigi, Joseph W Abbott, Philip Loche, et al.
The Journal of Chemical Physics|August 14, 2024
i-PI 3.0: A flexible and efficient framework for advanced atomistic simulationsYair Litman, Venkat Kapil, Yotam M Y Feldman, et al.
Pageof 1