https://arxiv.org/html/2502.07104v2
Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
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https://www.synopsys.com/glossary/what-are-machine-learned-force-fields.html
What are Machine-Learned Force Fields and How Does It Work? | Synopsys
Discover machine-learned force fields, a data-driven approach that accelerates accurate atomic-scale simulations for materials research and device design.
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https://www.synopsys.com/manufacturing/quantumatk/atomistic-simulation-products/machine-learned-force-fields.html
Machine-Learned Force Fields | Synopsys QuantumATK
Machine Learning Based Force Fields for Complex Materials to simulate realistic structures of complex multi-element crystalline, amorphous, liquid materials...
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https://www.ornl.gov/publication/machine-learned-closure-urans-stably-stratified-turbulence-connecting-physical
Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales &...
Stably stratified turbulence (SST), a model that is representative of the turbulence found in the oceans and atmosphere, is strongly affected by fine balances...
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https://www.sandia.gov/research/publications/details/machine-learned-surrogate-models-for-threaded-fastener-geometries-subjected-2022-10-01/
Machine-Learned Surrogate Models for Threaded Fastener Geometries Subjected to Multiaxial Loadings...
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https://research.google/pubs/individual-welfare-guarantees-in-the-autobidding-world-with-machine-learned-advice/
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice
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https://arxiv.org/abs/2502.07104v2
[2502.07104v2] Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
Abstract page for arXiv paper 2502.07104v2: Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
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https://openreview.net/forum?id=lsdsXJqkHA
Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators | OpenReview
Time-dependent density functional theory (TDDFT) is a widely used method to investigate electron dynamics under various external perturbations such as laser...
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https://www.uni-heidelberg.de/en/research/research-profile/excellence-strategy/engineering-molecular-systems/funded-projects-and-investments/designing-proteins-via-machine-learned-physical-simulation
Designing Proteins via Machine-Learned Physical Simulation - Heidelberg University
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https://arxiv.org/abs/2512.25061
[2512.25061] Melting curve of correlated iron at Earth's core conditions from machine-learned...
Abstract page for arXiv paper 2512.25061: Melting curve of correlated iron at Earth's core conditions from machine-learned DFT+DMFT
https://www.mediawiki.org/wiki/File:Lessons_learned_building_machine_learning_models_for_Wikidata.pdf
File:Lessons learned building machine learning models for Wikidata.pdf - MediaWiki
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