Some distributional and convergence properties of the finite element method, with applications in nonlinear elastodynamics. - J. Tinsley Oden (ACM Annual Conference, 1973)

Formulation and application of certain primal and mixed finite element models of finite deformations of elastic bodies. - J. Tinsley Oden (Computing Methods in Applied Sciences and Engineering, 1973)

Finite Element Methods. - J. Tinsley Oden (FJCC, 1986)

Some historic comments on finite elements. - J. Tinsley Oden (HSNC, 1987)

An Introduction to the Finite Element Method with Applications to Nonlinear Problems (R. E. White). - J. Tinsley Oden (SIAM Rev., 1989)

An h-r-Adaptive Approximate Riemann Solver for the Euler Equations in Two Dimensions. - Michael G. Edwards; J. Tinsley Oden; Leszek F. Demkowicz (SIAM J. Sci. Comput., 1993)

Architecture. - Paul Messina; David E. Culler; Wayne Pfeiffer; William R. Martin; J. Tinsley Oden; Gary Smith (Commun. ACM, 1998)

A Computational Infrastructure for Reliable Computer Simulations. - J. Tinsley Oden; James C. Browne; Ivo Babuska; Kenneth M. Liechti; Leszek F. Demkowicz (International Conference on Computational Science, 2003)

A posteriori error estimation for a new stabilized discontinuous Galerkin method. - Albert Romkes; Serge Prudhomme; J. Tinsley Oden (Appl. Math. Lett., 2003)

A Dynamic Data Driven Computational Infrastructure for Reliable Computer Simulations. - J. Tinsley Oden; James C. Browne; Ivo Babuska; Chandrajit L. Bajaj; Leszek F. Demkowicz; L. Gray; Jon Bass; Yusheng Feng; Serge Prudhomme; Fabio Nobile; Raúl Tempone (International Conference on Computational Science, 2004)

Development of a Computational Paradigm for Laser Treatment of Cancer. - J. Tinsley Oden; Kenneth R. Diller; Chandrajit L. Bajaj; James C. Browne; John D. Hazle; Ivo Babuska; Jon Bass; Leszek F. Demkowicz; Yusheng Feng; David Fuentes 001; Serge Prudhomme; Marissa Nichole Rylander; et al. (International Conference on Computational Science (3), 2006)

MultiScale Modeling of Physical Phenomena: Adaptive Control of Models. - J. Tinsley Oden; Serge Prudhomme; Albert Romkes; Paul T. Bauman (SIAM J. Sci. Comput., 2006)

Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. - Chandrajit L. Bajaj; J. Tinsley Oden; Kenneth R. Diller; James C. Browne; John D. Hazle; Ivo Babuska; Jon Bass; L. Bidaut; Leszek F. Demkowicz; Andrew Elliott; Yusheng Feng; David Fuentes 001; et al. (International Conference on Computational Science (1), 2007)

MRTI-Based Optimization and Real-Time Laser Surgical Control for Cancer Treatment Using Fast Inverse Analysis Techniques. - Yusheng Feng; David Fuentes 001; Andrea Hawkins; J. Tinsley Oden (BMEI (2), 2008)

Nanoshell-mediated laser surgery simulation for prostate cancer treatment. - Yusheng Feng; David Fuentes 001; Andrea Hawkins; Jon Bass; Marissa Nichole Rylander; Andrew Elliott; Anil Shetty; R. Jason Stafford; J. Tinsley Oden (Eng. Comput., 2009)

Finite element method. - J. Tinsley Oden (Scholarpedia, 2010)

Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy. - David Fuentes 001; Yusheng Feng; Andrew Elliott; Anil Shetty; R. Jason McNichols; J. Tinsley Oden; R. Jason Stafford (IEEE Trans. Biomed. Eng., 2010)

A Dynamic Data Driven Application System for Real-time Monitoring of Stochastic Damage. - Erenesto E. Prudencio; Paul T. Bauman; S. V. Williams; Danial Faghihi; K. Ravi-Chandar; J. Tinsley Oden (ICCS, 2013)

Estimation of error in observables of coarse-grained models of atomic systems. - J. Tinsley Oden; Kathryn Farrell; Danial Faghihi (Adv. Model. Simul. Eng. Sci., 2015)

A Bayesian framework for adaptive selection, calibration, and validation of coarse-grained models of atomistic systems. - Kathryn Farrell; J. Tinsley Oden; Danial Faghihi (J. Comput. Phys., 2015)

Research and Education in Computational Science and Engineering. - Ulrich Rüde; Karen Willcox; Lois Curfman McInnes; Hans De Sterck; George Biros; Hans-Joachim Bungartz; James Corones; Evin Cramer; James Crowley; Omar Ghattas; Max D. Gunzburger; Michael Hanke; et al. (CoRR, 2016)

Modeling and Simulation. - J. Tinsley Oden (Handbook of Science and Technology Convergence, 2016)

Adaptive multiscale predictive modelling. - J. Tinsley Oden (Acta Numer., 2018)

Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods. - Laura Scarabosio; Barbara I. Wohlmuth; J. Tinsley Oden; Danial Faghihi (Comput. Math. Appl., 2019)

A Statistical Framework for Generating Microstructures of Two-Phase Random Materials: Application to Fatigue Analysis. - Ustim Khristenko; Andrei Constantinescu 002; Patrick Le Tallec; J. Tinsley Oden; Barbara I. Wohlmuth (Multiscale Model. Simul., 2020)

Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. - Guillermo Lorenzo; David A. Hormuth II; Angela M. Jarrett; Ernesto A. B. F. Lima; Shashank Subramanian; George Biros; J. Tinsley Oden; Thomas J. R. Hughes; Thomas E. Yankeelov (CoRR, 2021)

A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue. - Marvin Fritz; Tobias Köppl; J. Tinsley Oden; Andreas Wagner; Barbara I. Wohlmuth; Chengyue Wu (CoRR, 2022)

Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI. - Prashant K. Jha; Christopher Walker; Drew Mitchell; J. Tinsley Oden; Dawid Schellingerhout; James A. Bankson; David T. Fuentes (CoRR, 2022)

Goal-oriented a-posteriori estimation of model error as an aid to parameter estimation. - Prashant K. Jha; J. Tinsley Oden (J. Comput. Phys., 2022)

A Globally Convergent Modified Newton Method for the Direct Minimization of the Ohta-Kawasaki Energy with Application to the Directed Self-Assembly of Diblock Copolymers. - Lianghao Cao; Omar Ghattas; J. Tinsley Oden (SIAM J. Sci. Comput., 2022)

A phase-field model for non-small cell lung cancer under the effects of immunotherapy. - Andreas Wagner; Pirmin Schlicke; Marvin Fritz; Christina Kuttler; J. Tinsley Oden; Christian Schumann; Barbara I. Wohlmuth (CoRR, 2023)

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data. - Lianghao Cao; Keyi Wu; J. Tinsley Oden; Peng Chen 024; Omar Ghattas (CoRR, 2023)

Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems. - Prashant K. Jha; J. Tinsley Oden (CoRR, 2023)

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems. - Lianghao Cao; Thomas O'Leary-Roseberry; Prashant K. Jha; J. Tinsley Oden; Omar Ghattas (J. Comput. Phys., 2023)

Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm. - Dingcheng Luo; Lianghao Cao; Peng Chen 024; Omar Ghattas; J. Tinsley Oden (J. Comput. Phys., 2023)

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport. - Ricardo Baptista; Lianghao Cao; Joshua Chen; Omar Ghattas; Fengyi Li; Youssef M. Marzouk; J. Tinsley Oden (J. Comput. Phys., 2024)