Explore the fascinating intersection where quantum materials meet the complexity of everyday environments in the Cond-Mat — Mes-Hall section. This field investigates how tiny particles behave when caught between the orderly world of single atoms and the chaotic nature of bulk matter, revealing the hidden rules that govern electricity, magnetism, and heat in novel substances.

Gist.Science brings these cutting-edge discoveries to you directly from arXiv, the leading repository for physics preprints. We process every new submission in this category as soon as it appears, offering both straightforward, plain-language explanations and deep technical summaries to help researchers and curious minds alike grasp the latest breakthroughs without getting lost in dense equations.

Below are the most recent papers in this dynamic area of condensed matter physics, ready for you to explore.

🔬 mesoscale physics

Thermoelectric information engine driven by an autonomous Maxwell demon across quantum-to-classical transitions

This paper investigates a three-terminal thermoelectric engine driven by an autonomous Maxwell demon to identify two distinct quantum-to-classical transitions—one controlled by interdot tunneling and another by phonon-induced decoherence—revealing how quantum coherence can enhance information flow and engine performance in specific regimes.

Maximiliano Bernal Santibañez, Felipe Barra, Jose Mondaca2026-06-12
🔬 mesoscale physics

Non-Hermitian Skin Effect Along Hyperbolic Geodesics

This paper introduces a geodesic-based framework and a corresponding geodesic-periodic boundary condition to investigate the non-Hermitian skin effect in non-reciprocal hyperbolic lattices, revealing that spectral sensitivity is governed by geodesic boundaries and non-reciprocal directionality while requiring boundary localization to distinguish skin modes due to the extensive boundary volume inherent to hyperbolic geometry.

Ruizhe Shen, Wei Jie Chan, Ching Hua Lee2026-06-11
🔬 mesoscale physics

DSpinGNN: A Physics-Informed Equivariant Graph Neural Network for Dynamic Magnetic Exchange Prediction in Strain-Deformed Monolayer CrI3_3

This paper introduces DSpinGNN, a physics-informed equivariant graph neural network that accurately predicts dynamic magnetic exchange couplings in strain-deformed monolayer CrI3_3, enabling large-scale simulations that reveal mesoscopic exchange textures and domain wall behaviors inaccessible to traditional first-principles methods.

Isam A. Balghari, M. Faryad, M. Sabieh Anwar2026-06-11✓ Author reviewed
🔬 mesoscale physics

Berry-phase-based Topological Charge in Quasicrystals and their Observable Features in Photonic System

This paper establishes a universal framework for Berry-phase-based topological charges in two-dimensional quasicrystals, demonstrating a unique higher charge of C=4C=4 in C8vC_{8v} systems and revealing a corresponding CC-fold winding of electromagnetic field patterns in photonic quasicrystals as a direct experimental signature.

Ziyi Chen, Jinyu Zou, Jinhua Gao, Gang xu2026-06-11