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Predictive Scale-Bridging Simulations through Active Learning., , , , , , , , , и 5 other автор(ы). CoRR, (2022)Automated discovery of a robust interatomic potential for aluminum., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks., , , , , , и . CoRR, (2024)Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 9034-9059. PMLR, (2023)Inferring low-dimensional microstructure representations using convolutional neural networks., , и . CoRR, (2016)FitSNAP: Atomistic machine learning with LAMMPS., , , , , , , , , и 5 other автор(ы). J. Open Source Softw., 8 (83): 5118 (марта 2023)Uncertainty-driven dynamics for active learning of interatomic potentials., , , , , , , и . Nat. Comput. Sci., 3 (3): 230-239 (2023)Latent Dirichlet Allocation modeling of environmental microbiomes., , , и . PLoS Comput. Biol., (2023)The effective field theory of dark matter direct detection, , , , и . Journal of Cosmology and Astroparticle Physics, 2013 (02): 004 (2013)Less is more: sampling chemical space with active learning., , , , и . CoRR, (2018)