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Philip Loche

Showing results (21-30 of 27) with videos related to

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Nature Communications|November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modelingArslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
Open Research Europe|January 18, 2024
scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials ScienceAlexander Goscinski, Victor Paul Principe, Guillaume Fraux, et al.
The Journal of Chemical Physics|April 8, 2025
Fast and flexible long-range models for atomistic machine learningPhilip Loche, Kevin K Huguenin-Dumittan, Melika Honarmand, et al.
Science Advances|June 5, 2020
Energy transfer within the hydrogen bonding network of water following resonant terahertz excitationHossam Elgabarty, Tobias Kampfrath, Douwe Jan Bonthuis, et al.
Physical Chemistry Chemical Physics : PCCP|May 28, 2020
Surface-orientation- and ligand-dependent quenching of the spin magnetic moment of Co porphyrins adsorbed on Cu substratesLucas M Arruda, Md Ehesan Ali, Matthias Bernien, 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.
Nature Reviews. Chemistry|April 28, 2023
Water at charged interfacesGrazia Gonella, Ellen H G Backus, Yuki Nagata, et al.
Pageof 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Nature Communications|November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modelingArslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
Open Research Europe|January 18, 2024
scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials ScienceAlexander Goscinski, Victor Paul Principe, Guillaume Fraux, et al.
The Journal of Chemical Physics|April 8, 2025
Fast and flexible long-range models for atomistic machine learningPhilip Loche, Kevin K Huguenin-Dumittan, Melika Honarmand, et al.
Science Advances|June 5, 2020
Energy transfer within the hydrogen bonding network of water following resonant terahertz excitationHossam Elgabarty, Tobias Kampfrath, Douwe Jan Bonthuis, et al.
Physical Chemistry Chemical Physics : PCCP|May 28, 2020
Surface-orientation- and ligand-dependent quenching of the spin magnetic moment of Co porphyrins adsorbed on Cu substratesLucas M Arruda, Md Ehesan Ali, Matthias Bernien, 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.
Nature Reviews. Chemistry|April 28, 2023
Water at charged interfacesGrazia Gonella, Ellen H G Backus, Yuki Nagata, et al.
Pageof 3