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

Wannier based analysis of the direct-indirect bandgap transition by stacking MoS2_2 layers

This study employs a combined first-principles and Wannier-based model to reveal that the direct-to-indirect bandgap transition in layered MoS2_2 is driven not only by interlayer pzp_z-pzp_z coupling but also critically by previously overlooked pzp_z-pxp_x and pzp_z-pyp_y orbital interactions between neighboring sulfur atoms.

Shunsuke Hirai, Ibuki Terada, Michi-To Suzuki2026-04-16
🔬 mesoscale physics

Improvement of the Simmons model for tunnel junctions

This paper presents an improved analytical model for metallic tunnel junctions that offers greater accuracy than the traditional Simmons model by deriving new formulas for tunneling current and conductance at finite voltage and temperature, which align more closely with the Wentzel-Kramers-Brillouin approximation and demonstrate significant practical differences when fitted to experimental data.

Ilmo Räisänen, Ilari Maasilta2026-04-16
🔬 mesoscale physics

Cryogenic Loss Limits in Microwave Epitaxial AlN Acoustic Resonators

This paper presents a physics-based model incorporating both intrinsic and extrinsic loss mechanisms to explain the temperature-dependent quality factor limits of epitaxial AlN acoustic resonators, validated through experimental measurements from 6.5 K to 300 K and benchmarked against high-frequency HBAR data to guide the design of cryogenic microwave components for quantum hardware.

Hemant Gulupalli, Navnil Choudhury, Jiacheng Xie, Yufeng Wu, Huili Grace Xing, Hong X. Tang, Debdeep Jena, Kanad Basu, W (…)2026-04-16
🔬 mesoscale physics

Sub-nm range momentum-dependent exciton transfer from a 2D semiconductor to graphene

Using time-resolved photoluminescence spectroscopy on MoSe2_2/graphene heterostructures, this study demonstrates that sub-nanometer-range exciton transfer is governed by charge tunneling rather than dipolar interactions, as evidenced by a consistent 2.5\approx 2.5 ps transfer time that vanishes when a 1 nm hexagonal boron nitride spacer is introduced.

Aditi Raman Moghe, Delphine Lagarde, Sotirios Papadopoulos, Etienne Lorchat, Luis E. Parra López, Loïc Moczko, Kenji Wat (…)2026-04-16
🔬 mesoscale physics

Coherent control of thermal transport with pillar-based phononic crystals

This paper demonstrates that pillar-based phononic crystals on suspended silicon nitride membranes can coherently control thermal transport at sub-Kelvin temperatures, achieving up to an order-of-magnitude reduction in thermal conductance, although the coherent theory fails to predict results for larger lattice constants due to diffusive scattering caused by surface roughness.

Tatu A. S. Korkiamäki, Tuomas A. Puurtinen, Mikko Kivekäs, Teemu Loippo, Adam Krysztofik, Bartlomiej Graczykowski, Ilari (…)2026-04-16
🔬 mesoscale physics

Hierarchical Bayesian calibration of mesoscopic models for ultrasound contrast agents from force spectroscopy data

This paper presents a surrogate-accelerated hierarchical Bayesian calibration framework that successfully derives data-informed dissipative particle dynamics models for commercial ultrasound contrast agents by inferring their mechanical parameters from force spectroscopy data across multiple bubble diameters.

Brieuc Benvegnen, Nikolaos Ntarakas, Tilen Potisk, Ignacio Pagonabarraga, Matej Praprotnik2026-04-16
🔬 mesoscale physics

Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram

This paper presents a deep learning-based pipeline using a U-Net CNN to automatically tune 300 mm FDSOI quantum dots by segmenting charge stability diagrams, achieving an 80% success rate in locating the single-charge regime and offering a scalable path toward high-throughput qubit automation.

Peter Samaha, Amine Torki, Ysaline Renaud, Sam Fiette, Emmanuel Chanrion, Pierre-Andre Mortemousque, Yann Beilliard2026-04-16