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

Carrier Localization in Pnictogen-Based Chalcohalides from Defect-Bound Hot Polarons

This study reveals that in the pnictogen-based chalcohalide BiSBr, vacancies introduced during synthesis or post-treatment induce extrinsic carrier localization through the formation of defect-bound hot polarons, which divert excited carriers from cooling to the band edge and thereby limit solar absorber efficiency.

Xiaoyu Guo, Junzhi Ye, Cibrán Lopez Alvarez, Maciej Oskar Liedke, Maik Butterling, Mutibah Alanazi, Yi-Teng Huang, Jiaji (…)2026-05-29
🔬 materials science

Synergistic approach to probing the dynamics and mechanics of patchy soft matter

This paper presents a synergistic framework combining coarse-grained simulations, experimental rheology, and machine learning to efficiently map the design space of DNA-based soft matter fluids, enabling the rational and accelerated discovery of materials with tailored bulk rheological properties.

Md Mozakker H. Shojib, Asier C. Monasterio, Emanuele Locatelli, Pascal Friederich, Christopher Ness, Iliya D. Stoev2026-05-29
🔬 materials science

Charting the thermodynamic stability of hybrid perovskite alloys with machine learning

This study employs a two-level machine learning strategy combining graph neural network potentials and direct energy predictors to map the thermodynamic stability of (Cs/FA)Pb(Br/I)₃ and (Cs/FA)Sn(Br/I)₃ perovskite alloys, revealing that Sn-based systems have narrower stable composition regions than Pb-based ones and that maximum stability occurs at high iodine content.

Jarno Laakso, Armi Tiihonen, Patrick Rinke2026-05-29
🔬 materials science

Hysteretic Acoustic Band Structures in Shape-Memory Composite Thin Rods

This paper demonstrates that shape-memory alloy-polymer composite rods exhibit hysteretic acoustic band structures, where the stop-band edges and transmission spectra form closed loops in the temperature-frequency plane due to the material's thermal hysteresis, while the spectral hysteresis width can be further tuned by adjusting the geometric filling fraction.

R. Esquivel-Sirvent, B. Manzanares-Martínez, J. Manzanares-Martínez2026-05-29
🔬 materials science

Composition-dependent Thin-film Synthesis of Layered Ternary Iron Nitrides FeMN2 (M = W, Mo)

This study reports the successful composition-dependent synthesis of layered ternary iron nitride thin films (FeWN₂ and FeMoN₂) via reactive sputtering and ammonia annealing, revealing distinct structural accommodation mechanisms and strong couplings between composition, microstructure, and electronic/magnetic properties that differ significantly between the tungsten and molybdenum systems.

Baptiste Julien, Liam A. V. Nagle-Cocco, Yuwei Yang, Nicholas A. Strange, Nicholas M. Bedford, Andriy Zakutayev2026-05-29
🔬 materials science

What drives performance in molecular MPNNs? An operator-level factorial benchmark

This paper introduces an operator-level factorial benchmark that decomposes molecular MPNNs into distinct message-seed, fusion, and update components, revealing that message construction—particularly concatenation-based node-edge fusion—is the primary driver of performance, thereby providing targeted design heuristics that outperform monolithic architecture searches.

Panyu Jiao, Shuizhou Chen, Yiheng Shen, Yuyang Wang, Runhai Ouyang, Wei Xie2026-05-29
🔬 materials science

Spectroscopic evidence for a molecular orbital Kondo insulator

This study identifies FeSb2 as a molecular orbital Kondo insulator by using resonant inelastic X-ray scattering and first-principles calculations to demonstrate that hybridized Fe d-Sb p molecular orbitals create a mixed-configuration ground state with propagating collective modes, offering a new paradigm for engineering high-temperature Kondo many-body states.

Ke-Jun Xu, Kuan H. Hsu, Nathan Giles-Donovan, Christopher T. Parzyck, Gi-Hyeok Lee, Wanli Yang, Jun Okamoto, Hsiao-Yu Hu (…)2026-05-29
🔬 materials science

Interlayer Coupling Driven Correlated and Charge-Ordered Electronic States in a Transition Metal Dichalcogenide Superlattice

This study utilizes area-selective angle-resolved photoemission spectroscopy to demonstrate that interlayer coupling in the 4Hb-TaS₂ superlattice drives the formation of chiral "windmill" Fermi surfaces, Kondo-like peaks, and distinct charge orders, thereby reconciling competing Kondo and Mott-Hubbard models to explain its emergent correlated electronic states.

Yiwei Li, Lixuan Xu, Shihao Zhang, Lanxin Liu, Yifan Zhou, Qiang Wan, Shiwei Chen, Shiheng Liang, Yulin Chen, Yi-feng Ya (…)2026-05-28