Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.

At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.

Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.

🔬 materials science

AEcroscopyWave: Towards Self-Driving Characterization Platforms for Agentic AI

This paper introduces AEcroscopyWave, a custom-built characterization platform designed to bridge the gap between high-throughput industrial inspection and flexible, expert-driven research by enabling self-driving, agentic AI control over scanning probe microscopes and peripheral instrumentation.

Yongtao Liu, Jawad Chowdhury, Ganesh Narasimha, Ralph Bulanadi, Liam Collins, Ruben Millan Solsona, Marti Checa, Asraful (…)2026-07-28
🔬 materials science

Role of pp-dd Hybridization on Optical Properties of Chalcopyrite Semiconductors

This study reveals that strong pp-dd hybridization in chalcopyrite semiconductor quantum dots induces incoherent optical responses via Cu(dd) Coulomb scattering, whereas weak hybridization preserves coherence, thereby establishing that avoiding pp-dd-hybridized orbital character in photo-doped carriers is essential for designing quantum materials with coherent optical properties.

Neunghee Han, Harang Kim, Minjae Kim, Woonhyuk Baek2026-07-28
🔬 materials science

VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy

VecTree-RAG is an agentic retrieval-augmented generation framework that combines vector search for corpus-level document ranking with reasoning-guided tree traversal for precise evidence localization, achieving state-of-the-art performance and improved efficiency on scientific question-answering benchmarks by preserving and leveraging the structural context of academic literature.

Xinyan Zhong, Yuwei Shi, Yuqi Wei, Chen Shen, Tianhang Zhou, Zhenghao Wu2026-07-28
🔬 applied physics

Janus-induced atomic reconstruction amplifies twist-angle modulation of interlayer thermal transport in moiré bilayers

The study demonstrates that introducing Janus-induced mirror-symmetry breaking in MoSSe/MoS2 bilayers promotes atomic reconstruction into distorted aperiodic patterns, which significantly weakens interlayer coupling and amplifies the twist-angle dependence of thermal conductance by nearly an order of magnitude compared to conventional twisted bilayer MoS2.

Bin Xu, Rulei Guo, Jie Sun, Hiroo Suzuki, Takuma Yoshida, Ichiro Nakaya, Koki Sawasaki, Yasuhiko Hayashi, Shohei Chiashi (…)2026-07-28
🔬 materials science

A DFT and Machine Learning-Assisted Study on the Lattice Thermal Conductivity of LiCdSb for Thermoelectric Applications

This study employs density functional theory and machine-learning interatomic potentials to investigate the thermoelectric properties of LiCdSb, revealing a low lattice thermal conductivity and a figure of merit (ZT) exceeding 1 at temperatures above 600 K, which positions it as a promising candidate for high-temperature energy conversion.

R. Zosiamliana, Lalhriat Zuala, N. T. Tien, Vo Khuong Dien, A. Laref, D. P. Rai2026-07-28
🔬 materials science

Tailoring the Frequency-Dependent Optical Response of Hematite through Mono- and Co-Doping: A First-Principles Study

This first-principles study demonstrates that while boron doping destabilizes the α\alpha-Fe2_2O3_3 lattice, co-doping with yttrium restores structural stability and synergistically enhances the material's low-energy absorption and optical response, offering a viable strategy for tailoring hematite for advanced photoactive and optoelectronic applications.

Abdul Ahad Mamun, Muhammad Anisuzzaman Talukder2026-07-28
🔬 materials science

Local micromechanics in a mean-field model of glasses reveal key properties of its non-equilibrium RSB phase

This paper demonstrates that defining a micromechanical response function to local force monopoles in a mean-field glass model reveals exact relations between local stiffness and global susceptibilities, thereby bridging the model's non-equilibrium Replica-Symmetry-Breaking phase with finite-dimensional glasses and linking its soft mode statistics to the boson peak.

Makoto Suda, Edan Lerner, Eran Bouchbinder2026-07-28
🔬 optics

Dispersion models describing coupled systems in doped crystals. II. Infrared phonon excitations in GaAs single crystals and phonon-plasmon coupling in Zn-doped GaAs

This paper presents a generalized, temperature-dependent dispersion framework that simultaneously models intrinsic and Zn-doped GaAs infrared optical properties, successfully describing phonon-plasmon coupling and Fano-type asymmetries through the simultaneous fitting of reflectance, transmittance, and ellipsometric data.

Daniel Franta, Beata Hroncova, Mihai-George Muresan, Stefan Zollner2026-07-28
🔬 materials science

Square Net TaSiAs Nanowires with Topological Surface Conduction and Linear Magnetoresistance

This study reports the successful synthesis of chemically encapsulated, single-crystal TaSiAs nanowires with a square-net lattice, which exhibit enhanced room-temperature conductivity and non-saturating linear magnetoresistance due to topologically protected surface states, as confirmed by experimental transport measurements and first-principles calculations.

Anand Roy, Ofek Goldreich, Guy Ohad, Barun Barick, Olga Brontvein, Ora Bitton, Katya Rechav, Yishay Feldman, Leeor Kroni (…)2026-07-28