Lattice Thermal Conductivity Prediction Using Symbolic Regression and Machine Learning
Not provided.
Chemistry↗
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Results for “symbolic regression”
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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Establishing a data-driven deformation model for Tin using symbolic regression and genetic programming .
Abstract not provided.
Source record↗
Improved Plasticity and Damage Models By Symbolic Regression of Microscale Finite Element Simulations.
Abstract not provided.
Birky, Donovan↗
A Data-driven Approach for Improving the Existing Gurson Material Damage Model Using Genetic Programming for Symbolic Regression.
Abstract not provided.
Birky, Donovan↗
Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression
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Garbrecht, Karl↗
Establishing a data-driven strength model for 𝜷-tin by performing symbolic regression using genetic programming
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Montes de Oca Zapiain, David↗
Characterizing the complex deformation behavior of Tin using genetic programming to perform symbolic regression
This is the seminar I will present at WCCM conference highlighting our latest research work on incorporating genetic programming to obtain data-driven strength models for complex materials.
Montes de Oca Zapiain, David↗
Material-informed topology optimization via symbolic regression
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Robbins, Joshua [Sandia National Laboratories (SNL↗
Formulation of Plasticity Models through Symbolic Regression
No abstract available
Bomarito, Geoffrey↗
Modeling Fatigue Crack Growth Using Symbolic Regression
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Keven Carlson↗
Symbolic Regression with Genetic Programming
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Geoffrey Bomarito↗
Bayesian Genetic Programming Based Symbolic Regression with Preferential Search
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Karl Garbrecht↗
Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression
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Donovan Birky↗
Interpretability and Generalizability of Constitutive Models using Symbolic Regression
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Jacob Hochhalter↗
A demonstration platform for deep symbolic regression
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Computer science↗
Interpretable Data-driven Plasticity Models with Symbolic Regression.
Abstract not provided.
Stewart, Kristen↗
Reduced-physics model with symbolic regression using Bingo for fatigue life prediction of welds in shell structures.
Abstract not provided.
Carlson, Keven↗