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Scientific Data
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November 21, 2025
Massive Atomic Diversity: a compact universal dataset for atomistic machine learning
Arslan Mazitov, Sofiia Chorna, Guillaume Fraux, et al.
Digital Discovery
|
March 12, 2026
A universal machine learning model for the electronic density of states
Wei Bin How, Pol Febrer, Sanggyu Chong, et al.
Nature Communications
|
November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modeling
Arslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
The Journal of Chemical Physics
|
February 11, 2026
metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning
Filippo Bigi, Joseph W Abbott, Philip Loche, et al.
Materials Horizons
|
December 20, 2024
Artificial intelligence guided search for van der Waals materials with high optical anisotropy
Liudmila A Bereznikova, Ivan A Kruglov, Georgy A Ermolaev, et al.
Nano Letters
|
March 16, 2026
Giant Optical Anisotropy and Visible-Frequency Epsilon-near-Zero in Hyperbolic van der Waals MoOCl<sub>2</sub>
Georgy Ermolaev, Adilet Toksumakov, Aleksandr Slavich, et al.
Nano Letters
|
August 24, 2023
van der Waals Materials for Overcoming Fundamental Limitations in Photonic Integrated Circuitry
Andrey A Vyshnevyy, Georgy A Ermolaev, Dmitriy V Grudinin, et al.
Nature Communications
|
April 20, 2022
Topological phase singularities in atomically thin high-refractive-index materials
Georgy Ermolaev, Kirill Voronin, Denis G Baranov, et al.
Nano Letters
|
March 15, 2023
Giant and Tunable Excitonic Optical Anisotropy in Single-Crystal Halide Perovskites
Georgy Ermolaev, Anatoly P Pushkarev, Alexey Zhizhchenko, et al.
Nature Communications
|
October 16, 2025
Multifunctional van der Waals PdSe<sub>2</sub> for light detection, guiding and modulation
Aleksandr Slavich, Georgy Ermolaev, Nikolay Pak, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Scientific Data
|
November 21, 2025
Massive Atomic Diversity: a compact universal dataset for atomistic machine learning
Arslan Mazitov, Sofiia Chorna, Guillaume Fraux, et al.
Digital Discovery
|
March 12, 2026
A universal machine learning model for the electronic density of states
Wei Bin How, Pol Febrer, Sanggyu Chong, et al.
Nature Communications
|
November 27, 2025
PET-MAD as a lightweight universal interatomic potential for advanced materials modeling
Arslan Mazitov, Filippo Bigi, Matthias Kellner, et al.
The Journal of Chemical Physics
|
February 11, 2026
metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning
Filippo Bigi, Joseph W Abbott, Philip Loche, et al.
Materials Horizons
|
December 20, 2024
Artificial intelligence guided search for van der Waals materials with high optical anisotropy
Liudmila A Bereznikova, Ivan A Kruglov, Georgy A Ermolaev, et al.
Nano Letters
|
March 16, 2026
Giant Optical Anisotropy and Visible-Frequency Epsilon-near-Zero in Hyperbolic van der Waals MoOCl<sub>2</sub>
Georgy Ermolaev, Adilet Toksumakov, Aleksandr Slavich, et al.
Nano Letters
|
August 24, 2023
van der Waals Materials for Overcoming Fundamental Limitations in Photonic Integrated Circuitry
Andrey A Vyshnevyy, Georgy A Ermolaev, Dmitriy V Grudinin, et al.
Nature Communications
|
April 20, 2022
Topological phase singularities in atomically thin high-refractive-index materials
Georgy Ermolaev, Kirill Voronin, Denis G Baranov, et al.
Nano Letters
|
March 15, 2023
Giant and Tunable Excitonic Optical Anisotropy in Single-Crystal Halide Perovskites
Georgy Ermolaev, Anatoly P Pushkarev, Alexey Zhizhchenko, et al.
Nature Communications
|
October 16, 2025
Multifunctional van der Waals PdSe<sub>2</sub> for light detection, guiding and modulation
Aleksandr Slavich, Georgy Ermolaev, Nikolay Pak, et al.
Page
of 2