:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shen, Zhequan, Ju, Lili, Zhu, Liyong
Format:	Preprint
Published:	2025
Subjects:	Computational Physics
Online Access:	https://arxiv.org/abs/2505.08368
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Matched Asymptotic Expansions‐Based Transferable Neural Networks for Singular Perturbation Problems
by: Zhequan Shen, et al.
Published: (2026)

A Multiple Transferable Neural Network Method with Domain Decomposition for Elliptic Interface Problems
by: Lu, Tianzheng, et al.
Published: (2025)

Fast-Slow Neural Networks for Learning Singularly Perturbed Dynamical Systems
by: Serino, Daniel A., et al.
Published: (2024)

Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE
by: Vaidyan, Kevin Kurian Thomas, et al.
Published: (2026)

Neural Networks Asymptotic Behaviours for the Resolution of Inverse Problems
by: Del Debbio, Luigi, et al.
Published: (2024)

Asymptotic Matching the Self-Consistent Expansion to Approximate the Modified Bessel Functions of the Second Kind
by: Steinbock, Chanania, et al.
Published: (2024)

Two-scale Neural Networks for Singularly Perturbed Dynamical Systems with Multiple Parameters
by: Zhuang, Qiao, et al.
Published: (2026)

Neural Network Perturbation Theory (NNPT): Learning Residual Corrections from Exact Solutions
by: Chen, Zhenhao, et al.
Published: (2025)

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
by: Chen, Siqi, et al.
Published: (2024)

Asymptotic Expansions for Neural Network Approximations of Quantum Channels
by: Santos, Rômulo Damasclin Chaves dos
Published: (2026)

Elastic Constants and Bending Rigidities from Long-Wavelength Perturbation Expansions
by: Lin, Changpeng, et al.
Published: (2024)

Perturbative Expansion in Reciprocal Space: Bridging Microscopic and Mesoscopic Descriptions of Molecular Interactions
by: Jin, Jaehyeok, et al.
Published: (2023)

Neural Networks for Singular Perturbations
by: Opschoor, Joost A. A., et al.
Published: (2024)

General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equations
by: Wang, Sen, et al.
Published: (2024)

Contrast-Source-Based Physics-Driven Neural Network for Inverse Scattering Problems
by: Du, Yutong, et al.
Published: (2026)

Algorithmic Cluster Expansions for Quantum Problems
by: Mann, Ryan L., et al.
Published: (2023)

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

Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
by: Shen, Guoyao, et al.
Published: (2023)

Spectral Homogenization of the Radiative Transfer Equation via Low-Rank Tensor Train Decomposition
by: Ju, Y. Sungtaek
Published: (2026)

Schwinger Dyson Summation of Perturbation Expansions
by: Banks, Tom
Published: (2024)

Development and Analysis of Chien-Physics-Informed Neural Networks for Singular Perturbation Problems
by: Singh, Gautam, et al.
Published: (2025)

AMARO: All Heavy-Atom Transferable Neural Network Potentials of Protein Thermodynamics
by: Mirarchi, Antonio, et al.
Published: (2024)

Crank–Nicolson Method for Singularly Perturbed Unsteady Parabolic Problem With Multiple Boundary Turning Points
by: Yimesgen Mehari Kebede, et al.
Published: (2024)

Reformulation of Time-Dependent Density Functional Theory for Non-Perturbative Dynamics: The Rabi Oscillation Problem Resolved
by: Dar, Davood B., et al.
Published: (2024)

Multiple-Order Singularity Expansion Method
by: Soltane, Isam Ben, et al.
Published: (2023)

Data-Free Asymptotics-Informed Operator Networks for Singularly Perturbed PDEs
by: Lee, Jinsil, et al.
Published: (2025)

A Model-Guided Neural Network Method for the Inverse Scattering Problem
by: Tsang, Olivia, et al.
Published: (2025)

Fast and Flexible Probabilistic Forecasting of Dynamical Systems using Flow Matching and Physical Perturbation
by: Rout, Siddharth, et al.
Published: (2025)

Transferability of Atom-Based Neural Networks
by: Kjeldal, Frederik Ø., et al.
Published: (2024)

Helicity-conservative Physics-informed Neural Network Model for Navier-Stokes Equations
by: Jia, Jiwei, et al.
Published: (2022)

Neural Networks for Singular Perturbations -- Finite Regularity
by: Rohner, F., et al.
Published: (2026)

A Practical Framework for Simulating Time-Resolved Spectroscopy Based on a Real-time Dyson Expansion
by: Reeves, Cian, et al.
Published: (2025)

Asymptotic-Preserving Neural Networks for Viscoelastic Parameter Identification in Multiscale Blood Flow Modeling
by: Bertaglia, Giulia, et al.
Published: (2026)

Bifurcation Near a Transcritical Singularity in Planar Singularly Perturbed Systems
by: Jianhe Shen, et al.
Published: (2024)

MGNN: Moment Graph Neural Network for Universal Molecular Potentials
by: Chang, Jian, et al.
Published: (2024)

Generalized Transferable Neural Networks for Steady-State Partial Differential Equations
by: Cheng, Tao, et al.
Published: (2026)

Neural Network-Based Multimode Fiber Imaging and Characterization Under Thermal Perturbations
by: Wang, Kun, et al.
Published: (2024)

Asymptotic Accelerated Expansion in String Theory and the Swampland
by: Calderón-Infante, José, et al.
Published: (2022)

Equivariant Flow Matching for Symmetry-Breaking Bifurcation Problems
by: Hendriks, Fleur, et al.
Published: (2025)

Transferable Neural Wavefunctions for Solids
by: Gerard, Leon, et al.
Published: (2024)