Cover Image

Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thiruthummal, Abhiram Anand, Shelyag, Sergiy, Kim, Eun-jin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computational Engineering, Finance, and Science Numerical Analysis Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Information Geometry of Evolution of Neural Network Parameters While Training
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)

Spectral-Prior Guided Multistage Physics-Informed Neural Networks for Highly Accurate PDE Solutions
by: Li, Yuzhen, et al.
Published: (2025)

Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems
by: Anandh, Thivin, et al.
Published: (2024)

Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing
by: Bakirtzis, Stefanos, et al.
Published: (2024)

Solving Stochastic Differential Equations with Jump-Diffusion Efficiently: Applications to FPT Problems in Credit Risk
by: Zhang, Di, et al.
Published: (2007)

Adaptive Collocation Point Strategies For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method
by: Celaya, Adrian, et al.
Published: (2025)

Multi-Patch Isogeometric Convolution Hierarchical Deep-learning Neural Network
by: Zhang, Lei, et al.
Published: (2024)

VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks
by: Padhy, Rahul Kumar, et al.
Published: (2024)

Solving 1D Poisson problem with a Variational Quantum Linear Solver
by: Balducci, Giorgio Tosti, et al.
Published: (2024)

Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems
by: Radhakrishnan, Anand, et al.
Published: (2026)

Spectral Analysis of Discretized Boundary Integral Operators in 3D: a High-Frequency Perspective
by: Giunzioni, V., et al.
Published: (2025)

On Domain Decomposition for Magnetostatic Problems in 3D
by: Mally, Mario, et al.
Published: (2025)

A Boundary Integral-based Neural Operator for Mesh Deformation
by: Wu, Zhengyu, et al.
Published: (2026)

Mathematical Modeling and Error Estimation for the Thermal Dunking Problem: A Hierarchical Approach
by: Guo, Theron, et al.
Published: (2025)

Tree-Cotree-Based IETI-DP for Eddy Current Problems in Time-Domain
by: Mally, Mario, et al.
Published: (2025)

An Application Driven Method for Assembling Numerical Schemes for the Solution of Complex Multiphysics Problems
by: Zimbrod, Patrick, et al.
Published: (2023)

Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems
by: Aretz, Nicole, et al.
Published: (2025)

A Mixed Tree-Cotree Gauge for the Reduced Basis Approximation of Maxwell's Eigenvalue Problem
by: Ziegler, Anna, et al.
Published: (2024)

Assessing AI-Enhanced Single-Sweep Approximations for Problems with Forward-Peaked Scattering in Slab Geometry
by: Patel, Japan K., et al.
Published: (2024)

Hierarchical Tensor Network Structure Search for High-Dimensional Data
by: Guo, Zheng, et al.
Published: (2026)

TOBACO: Topology Optimization via Band-limited Coordinate Networks for Compositionally Graded Alloys
by: Chandrasekhar, Aaditya, et al.
Published: (2025)

A Cut-Based BAT-MCS Approach for Binary-State Network Reliability Assessment
by: Yeh, Wei-Chang
Published: (2025)

Time transient Simulations via Finite Element Network Analysis: Theoretical Formulation and Numerical Validation
by: Jokar, Mehdi, et al.
Published: (2024)

Mixing Data-Driven and Physics-Based Constitutive Models using Uncertainty-Driven Phase Fields
by: Storm, J., et al.
Published: (2025)

QuadNorm: Resolution-Robust Normalization for Neural Operators
by: Kim, Bum Jun, et al.
Published: (2026)

SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks
by: Miñoza, Jose Marie Antonio
Published: (2026)

Symplectic Neural Networks Based on Dynamical Systems
by: Tapley, Benjamin K
Published: (2024)

Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods
by: Parthasarathy, Tejaswin, et al.
Published: (2026)

Comparative study of different quadrature methods for cut elements
by: Loibl, Michael, et al.
Published: (2026)

Parameter unbounded Uzawa and penalty-splitted accelerated algorithms for frictionless contact problems
by: Koliesnikova, Daria, et al.
Published: (2026)

On the robustness of Dirichlet-Neumann coupling schemes for fluid-structure-interaction problems with nearly-closed fluid domains
by: Aissa-Berraies, A., et al.
Published: (2025)

Modern Statistics by Kriging
by: Suslo, Tomasz
Published: (2006)

A coupled finite element-virtual element method for thermomechanical analysis of electronic packaging structures
by: Gong, Yanpeng, et al.
Published: (2025)

Co-simulation errors due to step size changes
by: Kyllingstad, Lars T.
Published: (2025)

First Passage Time for Multivariate Jump-diffusion Stochastic Models With Applications in Finance
by: Zhang, Di, et al.
Published: (2007)

Efficient estimation of default correlation for multivariate jump-diffusion processes
by: Zhang, Di, et al.
Published: (2007)

TOMATOES: Topology and Material Optimization for Latent Heat Thermal Energy Storage Devices
by: Padhy, Rahul Kumar, et al.
Published: (2025)

A probabilistic reduced-order modeling framework for patient-specific cardio-mechanical analysis
by: Willems, Robin, et al.
Published: (2024)

A Stochastic Conservative Field Transfer Method for Black-box Multiscale and Multiphysics Coupling
by: Paudel, Abhiyan, et al.
Published: (2026)

pyCFS-data: Data Processing Framework in Python for openCFS
by: Wurzinger, Andreas, et al.
Published: (2024)