In-memory Integration of Existing Software Components for Parallel Adaptive Unstructured Mesh Workflows. - Cameron W. Smith; Brian Granzow; Dan Ibanez; Onkar Sahni; Kenneth E. Jansen; Mark S. Shephard (XSEDE, 2016)

Component-based workflows for parallel thermomechanical analysis of arrayed geometries. - Max O. Bloomfield; Zhen Li; Brian Granzow; Daniel Ibanez; Assad A. Oberai; Glen Hansen; Xiao Hu Liu; Mark S. Shephard (Eng. Comput., 2017)

In-memory integration of existing software components for parallel adaptive unstructured mesh workflows. - Cameron W. Smith; Brian Granzow; Gerrett Diamond; Daniel Ibanez; Onkar Sahni; Kenneth E. Jansen; Mark S. Shephard (Concurr. Comput. Pract. Exp., 2018)

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

An automated approach for parallel adjoint-based error estimation and mesh adaptation. - Brian Granzow; Assad A. Oberai; Mark S. Shephard (Eng. Comput., 2020)

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

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)

An Efficient Second-Order Adaptive Procedure for Inserting CAD Geometries into Hexahedral Meshes using Volume Fractions. - Brian Neal Granzow; Stephen D. Bond; Michael J. Powell; Daniel A. Ibanez (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)