Prashant K. Jha
  • Bio
  • Experience
  • Publications
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  • Software
  • Teaching
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  • GitHub
  • Recent & Upcoming Events
    • Conference talk: Application of peridynamics to granular media
    • Conference talk: Seamless multiphysics coupling with peridynamics enabled by nodal finite element approximation
    • Conference talk: Analysis and application of peridynamics to fracture in solids and granular media
    • Conference talk: Phase Field Models of the Growth of Tumors Embedded in an Evolving Vascular Network: Dynamic 1D-3D Models of Angiogenesis
    • Conference talk: Analysis and application of peridynamics to fracture in solids and granular media
    • Departmental seminar: Application of peridynamics to fracture in solids and granular media
    • Departmental seminar: A mechanistic tumor growth model for HP MRI
    • Departmental seminar: A mechanistic tumor growth model for HP MRI
    • Conference talk: Numerical fracture experiments using nonlinear nonlocal models
    • Conference talk: Convergence results for finite element and finite difference approximation of nonlocal fracture
    • Departmental seminar: Modelling fracture in solids using nonlocal interaction: A brief overview of Peridynamics
    • Conference talk: Convergence results for finite element and finite difference approximation of nonlocal fracture models
    • Conference talk: Free damage propagation with memory
    • Departmental seminar: Well-posedness of nonlocal fracture models and apriori error estimates of numerical approximations
    • Departmental seminar: Finite element approximation of nonlocal fracture models
    • Conference talk: Numerical Analysis of Nonlocal Fracture Models
    • Departmental seminar: Numerical Analysis of Nonlocal Fracture Models
    • Departmental seminar: Coarse Graining of Electric Field Interactions with Materials
    • Departmental seminar: Coarse Graining of Electric Field Interactions with Materials
    • Departmental seminar: Coarse Graining of Electric Field Interactions with Materials
  • Publications
    • An Information-Theoretic Framework for Optimal Experimental Design in Magnetic Nanoparticle Hyperthermia
    • From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
    • Nodal finite element approximation of peridynamics
    • Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems
    • Discrete-to-Continuum Limits of Long-Range Electrical Interactions in Nanostructures
    • Residual-Based Error Correction for Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems
    • Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation
    • Atomic-to-Continuum Multiscale Modeling of Defects in Crystals with Nonlocal Electrostatic Interactions
    • Mutual-Information Based Optimal Experimental Design for Hyperpolarized 13C-Pyruvate MRI
    • NLMech: Implementation of Finite Difference/Meshfree Discretization of Nonlocal Fracture Models
    • Load Balancing for Distributed Nonlocal Models Within Asynchronous Many-Task Systems
    • Modeling and Simulation of Vascular Tumors Embedded in Evolving Capillary Networks
    • Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data
    • Peridynamics-Based Discrete Element Method (PeriDEM) Model of Granular Systems Involving Breakage of Arbitrarily Shaped Particles
    • Analysis of a New Multispecies Tumor Growth Model Coupling 3D Phase-Fields With a 1D Vascular Network
    • Nonlocal Elastodynamics and Fracture
    • Finite Element Approximation of Nonlocal Dynamic Fracture Models
    • An Asynchronous and Task-Based Implementation of Peridynamics Utilizing HPX—the C++ Standard Library for Parallelism and Concurrency
    • Bayesian-Based Predictions of COVID-19 Evolution in Texas Using Multispecies Mixture-Theoretic Continuum Models
    • Kinetic Relations and Local Energy Balance for LEFM from a Nonlocal Peridynamic Model
    • Oden Institute REPORT 20-10
    • Finite Element Convergence for State-Based Peridynamic Fracture Models
    • Complex Fracture Nucleation and Evolution With Nonlocal Elastodynamics
    • Numerical Convergence of Finite Difference Approximations for State-Based Peridynamic Fracture Models
    • Dynamic Brittle Fracture from Nonlocal Double-Well Potentials: A State-Based Model
    • Dynamic Damage Propagation with Memory: A State-Based Model
    • Finite Differences and Finite Elements in Nonlocal Fracture Modeling: A Priori Convergence Rates
    • Well-Posed Nonlinear Nonlocal Fracture Models Associated with Double-Well Potentials
    • Free Damage Propagation With Memory
    • Numerical Convergence of Nonlinear Nonlocal Continuum Models to Local Elastodynamics
    • Numerical Analysis of Nonlocal Fracture Models in Holder Space
    • Coarse Graining of Electric Field Interactions With Materials
  • Software
    • neural_operator
    • Angiogenesis3D1D
    • BayesForSEIRD
    • NLMech
    • nonlocalheatequation
    • PeriDEM
  • Latest News
    • Ian was selected for 2025 REU Summary Research Position award to work on design of functional materials
    • Virtual Thematic Conference (January 10 - 11, 2022) on Computational Oncology
  • Teaching
    • ME 322 - Machine Design I (Spring 2025)
    • ME 322 - Machine Design I (Fall 2024)
    • M21946 - Engineering Principles (Spring 2024)
    • M21967 - Technology Concepts (Spring 2024)
    • BME 313L - Introduction to Numerical Methods in Biomedical Engineering (Fall 2021)
    • COE 311K - Engineering Computation (Fall 2021)
  • Research Projects
    • Analysis and application of peridynamics
    • Neural Networks to Accelerate Scientific Computing
    • Computational methods for nonlocal models
    • Modeling tumor growth, angiogenesis, drug-therapy, metastasis
    • Study of granular media
  • Experience

ME 322 - Machine Design I (Spring 2025)

Jan 13, 2025 · 0 min read
Go to Project Site
Last updated on Jan 13, 2025
Prashant K. Jha
Authors
Prashant K. Jha
Assistant Professor of Mechanical Engineering
Our group uses mechanics, applied mathematics, and computational science to understand and represent the complex behavior of materials, e.g., functional soft materials and granular materials.
ME 322 - Machine Design I (Fall 2024) Sep 1, 2024 →

© 2025 Prashant K. Jha. This work is licensed under CC BY NC ND 4.0

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