Brian Neal Granzow

Computational Multiphysics

Author profile picture

Computational Multiphysics

bngranz@sandia.gov

(505) 284-3216

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1321

Biography

Brian received a Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute and a B.S. in applied mathematics from the University of New Mexico. His research interests include developing numerical algorithms and software for predictive simulation on next-generation architectures, a posteriori error estimation in finite element analysis, unstructured mesh adaptivity, and adaptive mesh mesh refinement.

Education

B.S. Applied Mathematics – University of New Mexico

Ph.D. Mechanical Engineering – Rensselaer Polytechnic Institute

Publications

Daniel Thomas Seidl, Brian Neal Granzow, (2022). Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental Data International Digital Image Correlation Society Annual Meeting Document ID: 1573591

Daniel Thomas Seidl, Brian Neal Granzow, (2022). Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental Data 19th U.S. National Congress on Theoretical and Applied Mechanics Document ID: 1540770

James W. Foulk III, Andrew Ackerman, Ashley C. Fate, Terri L. Galpin, Brian Neal Granzow, Martin W. Heinstein, David R. Noble, Tyler Shelton, Matthew L. Staten, Michael D Townsend, Christopher Riley Wilson, Justin Winokur, Gregg Whitford, (2022). Supporting end-to-end workflows for the design and analyst communities through an intuitive frontend and extensible backend grounded in user experience Tri-lab Advanced Simulation & Computing Sustainable Scientific Software Conference Document ID: 1539209

Daniel Thomas Seidl, Brian Neal Granzow, (2022). Calibration of Elastoplastic Constitutive Model Parameters with Automatic Differentiation-based Sensitivities: Application to Full-field Experimental Data 19th U.S. National Congress on Theoretical and Applied Mechanics Document ID: 1438321

John Henry Judah Niederhaus, Steven W. Bova, James Brian Carleton, John H. Carpenter, Kyle Cochrane, Wen Dong, Timothy Jesse Fuller, Brian Neal Granzow, Daniel Alejandro Ibanez-Granados, Stephen Ray Kennon, Christopher Bernard Luchini, Ramon Jules Moral, Christopher John O’Brien, Michael Powell, Allen C. Robinson, Jason James Sanchez, Christopher Siefert, Irina Kalashnikova Tezaur, Thomas E. Voth, Michael Meyers Crockatt, Angel Eliud Rodriguez, Alan K. Stagg, (2022). ALEGRA: finite element modeling for multimaterial shock hydrodynamics and multiphysics 16th Hypervelocity Impact Symposium Document ID: 1404955

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Software

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