Found: 16
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A Dataset of 3D Structural and Simulated Transport Properties of Complex Porous Media.
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- Scientific Data, 2022, v. 9, n. 1, p. 1, doi. 10.1038/s41597-022-01664-0
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- Article
The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules.
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- Scientific Data, 2020, v. 7, n. 1, p. 1, doi. 10.1038/s41597-020-0473-z
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- Article
Earthquake Catalog‐Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness.
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- Geophysical Research Letters, 2018, v. 45, n. 24, p. 13,269, doi. 10.1029/2018GL079712
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- Article
Machine Learning Predicts Laboratory Earthquakes.
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- Geophysical Research Letters, 2017, v. 44, n. 18, p. 9276, doi. 10.1002/2017GL074677
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- Article
Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media.
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- Transport in Porous Media, 2021, v. 140, n. 1, p. 241, doi. 10.1007/s11242-021-01617-y
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- Article
Improved quality metrics for association and reproducibility in chromatin accessibility data using mutual information.
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- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05553-0
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- Article
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning.
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- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-10827-4
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- Article
Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning.
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- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-10827-4
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- Article
Training data selection for accuracy and transferability of interatomic potentials.
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- NPJ Computational Materials, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41524-022-00872-x
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- Article
Drought conditioning of rhizosphere microbiome influences maize water use traits.
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- Plant & Soil, 2023, v. 492, n. 1/2, p. 587, doi. 10.1007/s11104-023-06204-2
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- Article
Learning together: Towards foundation models for machine learning interatomic potentials with meta-learning.
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- NPJ Computational Materials, 2024, v. 10, n. 1, p. 1, doi. 10.1038/s41524-024-01339-x
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- Article
Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-69661-0
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- Article
Latent Dirichlet Allocation modeling of environmental microbiomes.
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- PLoS Computational Biology, 2023, v. 19, n. 6, p. 1, doi. 10.1371/journal.pcbi.1011075
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- Article
Predictive scale-bridging simulations through active learning.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-42823-6
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- Article
Predictive scale-bridging simulations through active learning.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-42823-6
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- Publication type:
- Article
Automated discovery of a robust interatomic potential for aluminum.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-21376-0
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- Article