Predicting the dynamic response of a structure using an artificial neural network von Birky, Donovan, Ladd, Joshua, Guardiola, Ivan, Young, Andrew

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Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression von Garbrecht, Karl, Birky, Donovan, Lester, Brian, Emery, John, Hochhalter, Jacob

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Complementing a continuum thermodynamic approach to constitutive modeling with symbolic regression von Garbrecht, Karl, Birky, Donovan, Lester, Brian T., Emery, John Matthew, Hochhalter, Jacob D.

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Generalizing the Gurson model using symbolic regression and transfer learning to relax inherent assumptions von Birky, Donovan, Garbrecht, Karl, Emery, John, Alleman, Coleman, Bomarito, Geoffrey, Hochhalter, Jacob

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Generalizing the Gurson model using symbolic regression and transfer learning to relax inherent assumptions von Birky, Donovan, Garbrecht, Karl, Emery, John Matthew, Alleman, Coleman, Bomarito, Geoffrey, Hochhalter, Jacob

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Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression von Birky, Donovan, Garbrecht, Karl, Emery, John, Alleman, Coleman, Lester, Brian, Bomarito, Geoffrey, Buche, Michael, Hochhalter, Jacob

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Methods for Generating Interpretable Yield Surface Models With UQ Based on Data With Multiple Sources of Uncertainty von Birky, Donovan, Garbrecht, Karl, Emery, John, Hamel, Craig, Bomarito, Geoffrey, Leser, Patrick, Hochhalter, Jacob

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Interpretability and Generalizability of Constitutive Models using Symbolic Regression von Hochhalter, Jacob, Garbrecht, Karl, Birky, Donovan, Randall, David, Phung, Brian, Capulongo, Laurent, Rovinelli, Andrea, Bomarito, Geoffrey, Leser, Patrick

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