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Terapevticheskii Arkhiv|July 11, 2006
[Immunogenetic blood markers as a risk factor of development of periodic disease in Armenian population]V M Nersisian, V A Astvatsatrian, A G Zakharian, et al.Nature Communications|February 3, 2023
Learning local equivariant representations for large-scale atomistic dynamicsAlbert Musaelian, Simon Batzner, Anders Johansson, et al.ACS Omega|March 11, 2024
Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction PotentialsMgcini Keith Phuthi, Archie Mingze Yao, Simon Batzner, et al.Nature Communications|April 29, 2025
Unified differentiable learning of electric responseStefano Falletta, Andrea Cepellotti, Anders Johansson, et al.Nature Communications|May 4, 2022
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentialsSimon Batzner, Albert Musaelian, Lixin Sun, et al.Nature Machine Intelligence|January 29, 2025
The design space of E(3)-equivariant atom-centred interatomic potentialsIlyes Batatia, Simon Batzner, Dávid Péter Kovács, et al.Scientific Reports|February 26, 2025
Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learningLuca Candelori, Alexander G Abanov, Jeffrey Berger, et al.The Journal of Physical Chemistry Letters|July 18, 2024
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic PotentialsZachary A H Goodwin, Malia B Wenny, Julia H Yang, et al.Journal of the American Chemical Society|August 15, 2020
Evolution of Metastable Structures at Bimetallic Surfaces from Microscopy and Machine-Learning Molecular DynamicsJin Soo Lim, Jonathan Vandermause, Matthijs A van Spronsen, et al.Kardiologiia|January 25, 2021
[International register "Analysis of Chronic Non-infectious Diseases Dynamics After COVID-19 Infection in Adult Patients (ACTIV SARS-CoV-2)"]G P Arutyunov, E I Tarlovskaya, A G Arutyunov, et al.Pageof 3