Accelerating phase-field based predictions via surrogate models trained by machine learning methods.
Abstract not provided.
Dingreville, Remi Philippe Michel↗
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Results for “SURROGATE MODELS”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Hyper-Differential Sensitivity Analysis for Robust Machine Learned Surrogate Models.
Abstract not provided.
Hart, Joseph Lee↗
Surrogate Modeling of Spent Fuel Degradation for Repository Performance Assessment.
Abstract not provided.
Berg, Timothy M.↗
Adaptive resource allocation for surrogate modeling of systems comprised of multiple disciplines with varying fidelity.
Abstract not provided.
Jakeman, John Davis↗
Machine learned surrogate models for threaded fastener geometries in finite element analysis.
Abstract not provided.
Mersch, John↗
Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk.
Abstract not provided.
Jakeman, John↗
Accelerating Phase-field Predictions Via Surrogate Models Trained By Machine Learning Methods .
Abstract not provided.
Hu, Chongze↗
Efficient Bayesian Inference Approaches for Matrix and Tensor Learning: Applications to Surrogate Modeling of Complex Systems .
Abstract not provided.
De, Saibal↗
Predicting plastic anisotropy using crystal plasticity and Bayesian neuralnetwork surrogate models.
Abstract not provided.
Lim, Hojun↗
Automated machine learning for E3SM Atmosphere surrogate modeling.
Abstract not provided.
Chowdhary, Kamaljit↗
Computational Challenges in the development of a surrogate model for Density Functional Theory calculations.
Abstract not provided.
Rajamanickam, Sivasankaran↗
RaISE: A Framework to Characterize Surrogate Models in Scientific Computing.
Abstract not provided.
Morrow, Zachary↗
Estimating Aleatoric and Epistemic Uncertainty in Solutions to Stochastic Inverse Problems Using Machine Learning Surrogate Models.
Abstract not provided.
Wildey, Timothy↗
Machine-Learned Surrogate Models for Threaded Fastener Geometries Subjected to Multiaxial Loadings.
Abstract not provided.
Mersch, John↗
Conceptual Design of Integrated Energy Systems via Multiscale Market Simulations and Surrogate Models for Market Interactions
This final report describes novel capabilities developed as part of DISPATCHES, Design Integration and Synthesis Platform to Advance Tightly Coupled Hybrid Energy Systems, for designing hybrid energy systems (HES) a.k.a. integrated energy systems (IES) in the context of a larger electricity market. Capabilities are demonstrated on case studies for nuclear and renewable power.
29 ENERGY PLANNING, POLICY, AND ECONOMY↗