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ORCIDDaniel Thomas Seidl
Person information
- affiliation: Sandia National Laboratories, Albuquerque, NM, USA
- affiliation (former): Boston University, Department of Mechanical Engineering
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2020 – today
- 2026
[j1]Brian Neal Granzow
, Stephen D. Bond, D. Thomas Seidl, Bernhard Endtmayer:
A note on the reliability of goal-oriented error estimates for Galerkin finite element methods with nonlinear functionals. Appl. Math. Lett. 172: 109742 (2026)- 2025
- [i8]Ryan Yan, D. Thomas Seidl, Reese E. Jones, Panayiotis Papadopoulos:
A Direct-adjoint Approach for Material Point Model Calibration with Application to Plasticity. CoRR abs/2501.04584 (2025) - [i7]Asghar A. Jadoon, D. Thomas Seidl, Reese E. Jones, Jan Niklas Fuhg:
Input Specific Neural Networks. CoRR abs/2503.00268 (2025) - [i6]Sanjeev Kumar, D. Thomas Seidl, Brian Neal Granzow, Jin Yang, Jan Niklas Fuhg:
A comparative study of calibration techniques for finite strain elastoplasticity: Numerically-exact sensitivities for FEMU and VFM. CoRR abs/2503.19782 (2025) - [i5]Brian Neal Granzow, Stephen D. Bond, D. Thomas Seidl, Bernhard Endtmayer:
A Note on the Reliability of Goal-Oriented Error Estimates for Galerkin Finite Element Methods with Nonlinear Functionals. CoRR abs/2506.09913 (2025) - [i4]Steven Yang, Michal Levin, Govinda Anantha Padmanabha, Miriam Borshevsky, Ohad Cohen, D. Thomas Seidl, Reese E. Jones, Nikolaos Bouklas, Noy Cohen:
Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials. CoRR abs/2507.02991 (2025) - [i3]Asghar A. Jadoon, Ravi G. Patel, Brian Neal Granzow, Reese E. Jones, D. Thomas Seidl, Jan Niklas Fuhg:
Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity. CoRR abs/2508.15923 (2025) - 2023
- [i2]Brian Neal Granzow, D. Thomas Seidl, Stephen D. Bond:
Linearization Errors in Discrete Goal-Oriented Error Estimation. CoRR abs/2305.15285 (2023) - 2020
- [i1]Daniel Thomas Seidl, Brian Neal Granzow:
Calibration of Elastoplastic Constitutive Model Parameters from Full-field Data with Automatic Differentiation-based Sensitivities. CoRR abs/2010.03649 (2020)
2010 – 2019
- 2015
- [c1]Christopher S. Thompson, Lan Zhao, Steven M. Clark, Paul E. Barbone, Assad A. Oberai, Carol X. Song, D. Thomas Seidl, Tengxiao Liu:
Bring the NLACE model online using XSEDE and HUBzero. XSEDE 2015: 36:1-36:7
Coauthor Index
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