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Tom Seidl
Tom Seidl
Senior Member of the Technical Staff, Sandia National Laboratories
Verified email at sandia.gov
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Year
Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's …
BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
15412020
Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 6.16 theory …
KR Dalbey, MS Eldred, G Geraci, JD Jakeman, KA Maupin, JA Monschke, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
672021
Biomechanical imaging of cell stiffness and prestress with subcellular resolution
EP Canović, DT Seidl, SR Polio, AA Oberai, PE Barbone, D Stamenović, ...
Biomechanics and modeling in mechanobiology 13, 665-678, 2014
522014
DIC challenge 2.0: developing images and guidelines for evaluating accuracy and resolution of 2D analyses: focus on the metrological efficiency indicator
PL Reu, B Blaysat, E Anḍ, K Bhattacharya, C Couture, V Couty, D Deb, ...
Experimental Mechanics 62 (4), 639-654, 2022
372022
Spatial DIC errors due to pattern-induced bias and grey level discretization
SS Fayad, DT Seidl, PL Reu
Experimental Mechanics 60 (2), 249-263, 2020
372020
The Coupled Adjoint-State Equation in forward and inverse linear elasticity: Incompressible plane stress
DT Seidl, AA Oberai, PE Barbone
Computer Methods in Applied Mechanics and Engineering 357, 112588, 2019
252019
Progress in Deep Geologic Disposal Safety Assessment in the US since 2010.
P Mariner, LA Connolly, L Cunningham, B Debusschere, D Dobson, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
122019
Three-dimensional traction microscopy accounting for cell-induced matrix degradation
D Song, DT Seidl, AA Oberai
Computer Methods in Applied Mechanics and Engineering 364, 112935, 2020
112020
Multilevel uncertainty quantification using cfd and openfast simulations of the swift facility
A Hsieh, DC Maniaci, TG Herges, G Geraci, DT Seidl, MS Eldred, ...
AIAA Scitech 2020 Forum, 1949, 2020
112020
Surrogate Model Development of Spent Fuel Degradation for Repository Performance Assessment
PE Mariner, TM Berg, KW Chang, BJ Debusschere, RC Leone, DT Seidl
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020
102020
Born qualified grand challenge LDRD final report
RA Roach, N Argibay, K Allen, DK Balch, LL Beghini, JE Bishop, B Boyce, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2018
102018
Advances in GDSA framework development and process model integration
P Mariner, M Nole, E Basurto, TM Berg, KW Chang, B Debusschere, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2020
92020
Stiffness versus prestress relationship at subcellular length scale
EP Canović, DT Seidl, PE Barbone, ML Smith, D Stamenović
Journal of biomechanics 47 (12), 3222-3225, 2014
82014
Simultaneous inversion of shear modulus and traction boundary conditions in biomechanical imaging
DT Seidl, BG van Bloemen Waanders, TM Wildey
Inverse Problems in Science and Engineering 28 (2), 256-276, 2020
72020
On the importance of direct-levelling for constitutive material model calibration using Digital Image Correlation and finite element model updating
SS Fayad, EMC Jones, DT Seidl, PL Reu, J Lambros
Experimental Mechanics 63 (3), 467-484, 2023
62023
Multifidelity strategies for forward and inverse uncertainty quantification of wind energy applications
DT Seidl, G Geraci, R King, F Menhorn, A Glaws, MS Eldred
AIAA Scitech 2020 Forum, 1950, 2020
62020
Calibration of elastoplastic constitutive model parameters from full‐field data with automatic differentiation‐based sensitivities
DT Seidl, BN Granzow
International Journal for Numerical Methods in Engineering 123 (1), 69-100, 2022
52022
GDSA Framework Development and Process Model Integration FY2021
PE Mariner, TM Berg, BJ Debusschere, AC Eckert, J Harvey, TC LaForce, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
52021
A computational framework for elliptic inverse problems with uncertain boundary conditions
DT Seidl
Boston University, 2015
52015
Machine learning surrogates of a fuel matrix degradation process model for performance assessment of a nuclear waste repository
BJ Debusschere, DT Seidl, TM Berg, KW Chang, RC Leone, LP Swiler, ...
Nuclear Technology 209 (9), 1295-1318, 2023
42023
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