Cover Image

Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rowan, Conor, Maute, Kurt, Doostan, Alireza
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization
by: Norman, Grant, et al.
Published: (2026)

Aerodynamic force reconstruction using physics-informed Gaussian processes
by: Tondo, Gledson Rodrigo, et al.
Published: (2026)

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
by: Rowan, Conor, et al.
Published: (2025)

In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
by: Simpson, Cooper, et al.
Published: (2025)

Boundary condition enforcement with PINNs: a comparative study and verification on 3D geometries
by: Rowan, Conor, et al.
Published: (2025)

Physically Interpretable Representation and Controlled Generation for Turbulence Data
by: Fan, Tiffany, et al.
Published: (2025)

QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression
by: Doherty, Kevin, et al.
Published: (2022)

A thermoelastic plate model for shot peen forming metal panels based on effective torque
by: Rowan, Conor
Published: (2025)

Solving Engineering Eigenvalue Problems With Neural Networks Using the Rayleigh Quotient
by: Conor Rowan, et al.
Published: (2025)

Deep encoder-decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling
by: Ebbs-Picken, Takiah, et al.
Published: (2023)

Learning solutions of parametric Navier-Stokes with physics-informed neural networks
by: Naderibeni, M., et al.
Published: (2024)

GeOT: A spatially explicit framework for evaluating spatio-temporal predictions
by: Wiedemann, Nina, et al.
Published: (2024)

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
by: Koopas, Rasoul Najafi, et al.
Published: (2024)

Physics-informed neural networks for parameter learning of wildfire spreading
by: Vogiatzoglou, Konstantinos, et al.
Published: (2024)

Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
by: Kouw, Wouter M., et al.
Published: (2024)

Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
by: Nguyen, Binh Huy, et al.
Published: (2025)

Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations
by: Rezaei, Shahed, et al.
Published: (2024)

Physics-informed DeepONet with stiffness-based loss functions for structural response prediction
by: Ahmed, Bilal, et al.
Published: (2024)

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
by: Yuan, Biao, et al.
Published: (2024)

Interpretable long-term traffic modelling on national road networks using theory-informed deep learning
by: Li, Yue, et al.
Published: (2026)

FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
by: Danesh, Hooman, et al.
Published: (2024)

Physics-informed Partitioned Coupled Neural Operator for Complex Networks
by: Wu, Weidong, et al.
Published: (2024)

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
by: Xie, Jiarui, et al.
Published: (2024)

Techno-economic optimization of a heat-pipe microreactor, part I: theory and cost optimization
by: Seurin, Paul, et al.
Published: (2025)

Macroscopic transport patterns of UAV traffic in 3D anisotropic wind fields: A constraint-preserving hybrid PINN-FVM approach
by: Liang, Hanbing, et al.
Published: (2026)

Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
by: Bagheri, Abdolmahdi, et al.
Published: (2023)

Computational Fluid Dynamics Optimization of F1 Front Wing using Physics Informed Neural Networks
by: Shah, Naval
Published: (2025)

Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
by: Chen, Jungang, et al.
Published: (2023)

Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints
by: Nair, Siddharth, et al.
Published: (2025)

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
by: Bahmani, Bahador, et al.
Published: (2023)

Systematic equation formulation for simulation of power electronic circuits using explicit methods
by: Patil, Mahesh B.
Published: (2024)

Physics-Informed Diffusion Models
by: Bastek, Jan-Hendrik, et al.
Published: (2024)

COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates
by: Alheit, Benjamin, et al.
Published: (2025)

Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)

Exactness Matters for Physical Rule Enforcement
by: Kim, Bum Jun
Published: (2026)

A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations
by: Rezaei, Shahed, et al.
Published: (2024)

Physics-Informed Neural Networks for Shell Structures
by: Bastek, Jan-Hendrik, et al.
Published: (2022)

Physics-informed active learning with simultaneous weak-form latent space dynamics identification
by: He, Xiaolong, et al.
Published: (2024)

A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems
by: Li, Ming-Jian, et al.
Published: (2024)

Physics-Informed Machine Learning for Smart Additive Manufacturing
by: Sharma, Rahul, et al.
Published: (2024)