Publications

Mahesh Nandyala, Andrew Lanham, Prashant K. Jha, Chengyue Wu, John D. Hazle, Thomas E. Yankeelov, R Jason Stafford, Ahmed A. El-Gendy, David Fuentes (2025). An Information-Theoretic Framework for Optimal Experimental Design in Magnetic Nanoparticle Hyperthermia. SSRN.
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Prashant K. Jha (2025). From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing. arXiv.
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Prashant K. Jha, Patrick Diehl, Robert Lipton (2024). Nodal finite element approximation of peridynamics. CMAME.
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Prashant K. Jha (2023). Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems. CMAME.
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Prashant K. Jha, Timothy Breitzman, Kaushik Dayal (2023). Discrete-to-Continuum Limits of Long-Range Electrical Interactions in Nanostructures. ARMA.
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Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha, J. Tinsley Oden, Omar Ghattas (2023). Residual-Based Error Correction for Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems. JCP.
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Prashant K. Jha, J. Tinsley Oden (2022). Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation. JCP.
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Prashant K. Jha, Jason Marshall, Jaroslaw Knap, Kaushik Dayal (2022). Atomic-to-Continuum Multiscale Modeling of Defects in Crystals with Nonlocal Electrostatic Interactions. JAM.
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Prashant K. Jha, Christopher Walker, Drew Mitchell, J. Tinsley Oden, Dawid Schellingerhout, James A. Bankson, David T. Fuentes (2022). Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI. Scientific Reports.
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Prashant K. Jha, Patrick Diehl (2021). NLMech: Implementation of Finite Difference/Meshfree Discretization of Nonlocal Fracture Models. JOSS.
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