Data-driven plastic anisotropy predictions using crystal plasticity and deep learning models .
Abstract not provided.
Lim, Hojun↗
SEARCH · Engineering Papers
Results for “data driven”
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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Python Data-Driven Model Integration for the Xyce Circuit Simulator .
Abstract not provided.
Kuberry, Paul↗
Data-Driven Power Flow Estimation with Inverter Interfaced Energy Storage Using Dynamic Injection Shift Factor.
Abstract not provided.
Choi, Hyungjin↗
Embedded uncertainty estimation for data-driven surrogates to enable trustworthy ML for UQ.
Abstract not provided.
Wildey, Timothy↗
Limitations for Data-driven Safeguards at Enrichment Facilities.
Abstract not provided.
Shoman, Nathan↗
Data-driven design and discovery for Magnetized Liner Inertial Fusion.
Abstract not provided.
Lewis, William↗
Data-driven design and discovery for Magnetized Liner Inertial Fusion at Sandia?s Z Pulsed Power Facility.
Abstract not provided.
Lewis, William↗
Data-Driven Model-Form Uncertainty with Bayesian Statistics and Neural Differential Equations.
Abstract not provided.
Acquesta, Erin↗
Data-Driven Whitney Forms for Structure-Preserving Control Volume Analysis.
Abstract not provided.
Actor, Jonas↗
Discovery of Whitney Formsfor construction of structure preserving data-driven models.
Abstract not provided.
Trask, Nathaniel↗
Data-Driven Control Strategies for PDE Environments using Reinforcement Learning.
Abstract not provided.
Winovich, Nickolas↗
Data-Driven Techno-Economic Analysis of Community Energy Storage.
Abstract not provided.
Trevizan, Rodrigo↗
Magnetized Liner Inertial Fusion: Developing a data-driven understanding of magnetic flux compression from computation through experiment.
Abstract not provided.
Lewis, William↗
Progressive reduced order modeling: a road to redemption for data-driven modeling.
Abstract not provided.
Kadeethum, Teeratorn↗
A Data-Driven Study of Rayleigh-Taylor Transition to Turbulence [Slides]
A temporal dynamics perspective of forgetting ICs; Autonomous system of neural ODEs of 0D dynamics; Steep growth of backward integration error quantifies forgetting; Does such a system exist in reality? (a low dim. dyn. sys. shadowing a projection of a high dim. dyn. sys.); Next: minimal QOIs to identify system; Extension to PDEs of 1D dynamics of DNS.
97 MATHEMATICS AND COMPUTING↗