:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhenhao, Shen, Mutian, Fain, Boris, Nussinov, Zohar
Format:	Preprint
Published:	2025
Subjects:	Computational Physics
Online Access:	https://arxiv.org/abs/2512.01558
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Eggbox Ising Model
by: Shen, Mutian, et al.
Published: (2025)

The Physics of Local Optimization in Complex Disordered Systems
by: Shen, Mutian, et al.
Published: (2025)

Pattern Expansion of Spin Glasses
by: Shen, Mutian, et al.
Published: (2026)

Optimizing p-spin models through hypergraph neural networks and deep reinforcement learning
by: Zeng, Li, et al.
Published: (2026)

Redundancy from Subsystem Thermalization
by: Cao, Xiangyu, et al.
Published: (2026)

Planckian Bounds From Local Uncertainty Relations
by: Chakrabarty, Saurish, et al.
Published: (2025)

Universal fragility of spin-glass ground-states under single bond changes
by: Shen, Mutian, et al.
Published: (2023)

Emergence of a Boundary-Sensitive Phase in Hyperbolic Ising Models
by: Wang, Xingzhi, et al.
Published: (2025)

Giant nonlinear conductivity in 2D electron gas from substrate-induced dipolar scattering
by: Chichinadze, Dmitry V., et al.
Published: (2026)

Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning
by: Pu, Tianle, et al.
Published: (2024)

Algebraic Fusion in a (2+1)-dimensional Lattice Model with Generalized Symmetries
by: Giridhar, Chinmay, et al.
Published: (2025)

Generalized Wigner theorem for non-invertible symmetries
by: Ortiz, Gerardo, et al.
Published: (2025)

Matched Asymptotic Expansions-Based Transferable Neural Networks for Singular Perturbation Problems
by: Shen, Zhequan, et al.
Published: (2025)

Topological Orders Beyond Topological Quantum Field Theories
by: Vojta, P., et al.
Published: (2023)

A Mini Review of some Dark Matter/BSM Physics and a Bit More
by: Nussinov, Shmuel
Published: (2025)

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

Regularized Perturbation Theory for Ab initio Solids
by: Chen, Meng-Fu, et al.
Published: (2025)

Exact Solution of selfconsistent Vlasov equation
by: Morawetz, K.
Published: (1997)

Dilepton production from moaton quasiparticles
by: Nussinov, Zohar, et al.
Published: (2024)

Learning the Exact Time Integration Algorithm for Initial Value Problems by Randomized Neural Networks
by: Dong, Suchuan, et al.
Published: (2025)

Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks
by: Roy, Pratanu, et al.
Published: (2024)

Learning the Exact Flux: Neural Riemann Solvers with Hard Constraints
by: Zhang, Yucheng, et al.
Published: (2026)

Machine Learned Hückel Theory: Interfacing Physics and Deep Neural Networks
by: Zubatyuk, Tetiana, et al.
Published: (2019)

Exact Phase-Space Analytical Solution for the Power-Law Damped Contact Oscillator
by: Feng, Y. T.
Published: (2026)

A Physical Theory of Backpropagation: Exact Gradients from the Least-Action Principle
by: Scurria, Antonino Emanuele
Published: (2026)

A Residual-Attention Physics-Informed Neural Network for Irregular Interfaces and Multi-Peak Transport Fields
by: Zhou, Baitong, et al.
Published: (2026)

Superselection-Resolved Entanglement in Lattice Gauge Theories: A Tensor Network Approach
by: Feldman, Noa, et al.
Published: (2024)

Quantum Circuit for High Order Perturbation Theory Corrections
by: Li, Junxu, et al.
Published: (2024)

Flash evaporation Riemann Problem: Formulation and its Exact Solution
by: Bai, Haotong, et al.
Published: (2026)

Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction
by: Chiu, Pao-Hsiung, et al.
Published: (2026)

A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning
by: Toscano, Juan Diego, et al.
Published: (2025)

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces
by: Chen, Siqi, 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 Assisted Metropolis-Hastings for Bayesian Estimation of Critical Exponent on Elliptic Black Hole Solution in 4D Using Quantum Perturbation Theory
by: Hatefi, Armin, et al.
Published: (2024)

Exact Solutions to Matrix Models and String Theories: The Local Construction
by: Kager, Jasper, et al.
Published: (2026)

Signature of Unconventional Superconductivity in the High Temperature Normal State Resistivity
by: Wu, Yuchen, et al.
Published: (2026)

Symmetry Adapted Residual Neural Network Diabatization: Conical Intersections in Aniline Photodissociation
by: Shen, Yifan, et al.
Published: (2024)

Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
by: Roohi, Ehsan, et al.
Published: (2025)

Residual Attention Physics-Informed Neural Networks for Robust Multiphysics Simulation of Steady-State Electrothermal Energy Systems
by: Zhou, Yuqing, et al.
Published: (2026)

Accelerating Eigenvalue Computation for Nuclear Structure Calculations via Perturbative Corrections
by: Roh, Dong Min, et al.
Published: (2024)