Condensed Matter · Physics & Astronomy
Statistical Mechanics
The newest papers in Statistical Mechanics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
331 papers, from 31 August 2026 to 5 November 2026: 302 arXiv preprints and 29 OpenAlex records.
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Newest papers, page 17
Pole-Zero Geometry, Model Reduction, and Identifiability in Sensory Adaptation
Sensory adaptation provides a concrete setting in which low-order system identification can fail qualitatively.iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
Phase retrieval in broadband coherent anti-Stokes Raman spectroscopy (BCARS) is an ill-posed inverse problem.Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
Scientific law discovery has long been central to scientific progress, proceeding through iterative cycles of generating hypotheses, testing them against empirical evidence, and refining them under…Wave Function Backpropagation with Explicit Temporal-Interval Dynamics
Conventional neural networks learn predominantly through affine transformations followed by nonlinear activations, while elapsed time is often treated as an auxiliary feature or assumed to be…A Networked SIS Epidemic--Opinion Model with Higher-Order Interactions
This paper studies a susceptible--infected--susceptible (SIS) epidemic model coupled with opinion dynamics over a network of communities with higher-order interactions.Work Extraction Across a Thermodynamic Hierarchy in Quantum Many-Body Systems
Thermodynamics is operational in the sense that the very concept of thermal equilibrium depends crucially on the choice of observables, while the amount of extractable work is defined relative to…Interpolation Conditions for Instant Data Consistency with Port-Hamiltonian Structure
We develop a data-driven framework for nonlinear port-Hamiltonian (pH) systems based on interpolation conditions to characterize consistency between observed data and structured dynamical models.A Physics-Informed, PIV-Based Method for Surface Pressure Reconstruction
A physics-informed method for PIV-based surface pressure reconstruction that combines least-squares optimization with both local and global physical constraints is proposed.A model-inversion control strategy to attain desired equilibrium points when synthesizing nonlinear resonators
The initial conditions of a deterministic nonlinear system affects the attained asymptotic solutions.Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Generative models for implied volatility surfaces must produce outputs that satisfy static no-arbitrage constraints.Mixture of Polyconvex Neural Potentials for Parametric Hyperelasticity: Towards Foundation Material Models
Hyperelastic constitutive models enable modeling large deformations in elastic solids.