Daniel Thomas Seidl

According to our database, Daniel Thomas Seidl authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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, July, 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, June, 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, March, 2025

Input Specific Neural Networks.

Asghar A. Jadoon, D. Thomas Seidl, Reese E. Jones, Jan Niklas Fuhg

CoRR, March, 2025

A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity.

Ryan Yan, D. Thomas Seidl, Reese E. Jones, Panayiotis Papadopoulos

CoRR, January, 2025

2023

Linearization Errors in Discrete Goal-Oriented Error Estimation.

Brian Neal Granzow, D. Thomas Seidl, Stephen D. Bond

CoRR, 2023

2020

Calibration of Elastoplastic Constitutive Model Parameters from Full-field Data with Automatic Differentiation-based Sensitivities.

Daniel Thomas Seidl, Brian Neal Granzow

CoRR, 2020

2015

Bring the NLACE model online using XSEDE and HUBzero.

Christopher S. Thompson, Lan Zhao, Steven M. Clark, Paul E. Barbone, Assad A. Oberai, Carol X. Song, D. Thomas Seidl, Tengxiao Liu

Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015