Bring the NLACE model online using XSEDE and HUBzero. - Christopher S. Thompson; Lan Zhao 003; Steven M. Clark; Paul E. Barbone; Assad A. Oberai; Carol X. Song; D. Thomas Seidl; Tengxiao Liu (XSEDE, 2015)

Calibration of Elastoplastic Constitutive Model Parameters from Full-field Data with Automatic Differentiation-based Sensitivities. - Daniel Thomas Seidl; Brian Neal Granzow (CoRR, 2020)

Linearization Errors in Discrete Goal-Oriented Error Estimation. - Brian Neal Granzow; D. Thomas Seidl; Stephen D. Bond (CoRR, 2023)

A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity. - Ryan Yan; D. Thomas Seidl; Reese E. Jones; Panayiotis Papadopoulos (CoRR, 2025)

Input Specific Neural Networks. - Asghar A. Jadoon; D. Thomas Seidl; Reese E. Jones; Jan Niklas Fuhg (CoRR, 2025)

A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM. - Sanjeev Kumar; D. Thomas Seidl; Brian Neal Granzow; Jin Yang; Jan Niklas Fuhg (CoRR, 2025)

A Note on the Reliability of Goal-Oriented Error Estimates for Galerkin Finite Element Methods with Nonlinear Functionals. - Brian Neal Granzow; Stephen D. Bond; D. Thomas Seidl; Bernhard Endtmayer (CoRR, 2025)

Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials. - Steven Yang; Michal Levin; Govinda Anantha Padmanabha; Miriam Borshevsky; Ohad Cohen; D. Thomas Seidl; Reese E. Jones; Nikolaos Bouklas; Noy Cohen (CoRR, 2025)