Fluctuation imaging of disorder in monolayer semiconductors

This paper demonstrates that super-resolution fluorescence fluctuation microscopy is a rapid and effective method for imaging localized exciton instability caused by interfacial disorder in monolayer semiconductors, offering a practical alternative to atomic force microscopy and hyperspectral imaging for evaluating material quality in nanoscale devices.

Tom T. C. Sistermans, Rasmus H. Godiksen, Sara A. Elrafei, Alberto G. CurtoTue, 10 Ma🔬 cond-mat.mes-hall

High Thermal Conductivity in Back-End-of-Line Compatible AlN Thin Films

This study demonstrates that polycrystalline aluminum nitride (AlN) thin films deposited at back-end-of-line compatible low temperatures exhibit consistently high thermal conductivity across various substrates and can reduce peak device temperatures by up to 44%, establishing AlN as a practical heat spreader material for integrated circuits.

Xufei Guo, Zirou Chen, Zifeng Huang, Yuxiang Wang, Jinwen Liu, Zhe ChengTue, 10 Ma🔬 cond-mat.mes-hall

Bulk OsO2 Single Crystals: Superior Catalysts for Water Oxidation

This study reports the successful synthesis of bulk OsO2 single crystals that outperform commercial RuO2 nanopowder in oxygen evolution reaction efficiency and stability, challenging the universal applicability of nanoscaling by demonstrating that crystal integrity is a critical descriptor for robust electrocatalysis.

Guojian Zhao, Zhihao Li, Ziang Meng, Shucheng Wang, Li Liu, Zhiyuan Duan, Xiaoning Wang, Hongyu Chen, Yuzhou He, Jingyu Li, Sixu Jiang, Xiaoyang Tan, Qinghua Zhang, Qianfan Zhang, Peixin Qin, Zhiqi LiuTue, 10 Ma🔬 cond-mat.mes-hall

Optical manipulation of valley coherence via Landau level transitions in black phosphorus and WTe2 monolayers

This paper theoretically demonstrates that inter-Landau level transitions in black phosphorus and WTe2 monolayers significantly enhance valley quantum interference through their anisotropic electronic environments, with black phosphorus showing superior performance due to its greater directional disparity in transition probabilities.

Xinyu Mu, Shihao Li, Xiaoying Zhou, Guangyi JiaTue, 10 Ma🔬 cond-mat.mes-hall

All-in-plane image sensors free from readout integrated circuits

This paper introduces and experimentally validates a novel all-in-plane image sensor architecture that eliminates the need for individual pixel readout circuits by using neighbor-connected photoresistive pixels and reconstructing images via electrical impedance tomography, thereby enabling unprecedented simplification for ultra-miniaturized and heterogeneously integrated detectors.

Kirill Kapralov, Ilya Mazurenko, Elizaveta Tarkaeva, Valentin Semkin, Oleg Kononenko, Maxim Knyazev, Viktor Matveev, Mikhail Kashchenko, Alexander Morozov, Ivan Domaratsky, Vladimir Kaydashev, Yana Litun, Aleksandr Kuntsevich, Alexey Bocharov, Dmitry SvintsovTue, 10 Ma🔬 cond-mat.mes-hall

Band modulations and topological transitions in a one-dimensional periodic bead-on-string chain

This paper investigates band modulations and topological transitions in a one-dimensional periodic bead-on-string chain by combining exact transfer-matrix analysis, numerical simulations, and tabletop experiments to demonstrate that localized midgap states are topological solitons governed by the Su-Schrieffer-Heeger model and Dirac theory.

Haocong Pan, Wei Wang, Chunling LiuTue, 10 Ma🔬 cond-mat.mes-hall

Designing Extremely Low-Power Topological Transistors with 1T'-MoS2 and HZO for Cryogenic Applications

This paper theoretically proposes extremely low-power cryogenic negative-capacitance topological insulator field-effect transistors (NC-TIFETs) that combine a gate-field-induced 1T'-MoS2_2 topological channel with an HZO ferroelectric gate insulator to achieve steep-slope transfer curves and ultra-high transconductance, offering a promising solution for minimizing power dissipation in large-scale quantum computing control systems.

Yosep Park, Yungyeong Park, Hyeonseok Choi, Subeen Lim, Yeonghun LeeTue, 10 Ma🔬 cond-mat.mes-hall

DeepConf: Machine Learning Conformer Reconstruction of Biomolecules from Scanning Tunneling Microscopy Images

This paper introduces DeepConf, a machine learning framework that leverages accelerated Density Functional Theory to generate training data and reconstruct the three-dimensional structures of biomolecules like peptides and glycans from Scanning Tunneling Microscopy images with high accuracy.

Tim J. Seifert, Dhaneesh Kumar, Markus Etzkorn, Stephan Rauschenbach, Klaus Kern, Kelvin Anggara, Uta SchlickumTue, 10 Ma🔬 cond-mat.mes-hall

Thermal Hofstadter Butterflies

This paper characterizes the electronic entropy and specific heat of square, honeycomb, and triangular lattices under magnetic fields, revealing that these thermodynamic observables exhibit fractal self-similarity and distinct oscillations that serve as high-resolution spectroscopic fingerprints for the underlying Hofstadter butterfly spectra.

Natalia Cortés, Bastian Castorene, Francisco J. Peña, Damian Melo, Sergio E. Ulloa, Patricio VargasTue, 10 Ma🔬 cond-mat.mes-hall

Pressure-Induced Metal-Insulator and Paramagnet-Altermagnet Transitions in Rutile OsO2 Single Crystals

By synthesizing high-quality rutile OsO2 single crystals, researchers discovered that while the material is initially a paramagnetic metal, applying high pressure (44 GPa) induces a metal-insulator transition and drives a phase change into an altermagnetic state, demonstrating that external pressure can effectively tune its magnetic ground state.

Guojian Zhao, Ziang Meng, Wencheng Huang, Peixin Qin, Shaoheng Ruan, Liang Ma, Lin Zhu, Yuzhou He, Li Liu, Zhiyuan Duan, Xiaoning Wang, Hongyu Chen, Sixu Jiang, Jingyu Li, Xiaoyang Tan, K. Ozawa, Bosen Wang, Jinguang Cheng, Qinghua Zhang, Jianfeng Wang, Chaoyu Chen, Zhiqi LiuTue, 10 Ma🔬 cond-mat.mes-hall