🔬 Category

cond-mat.mtrl-sci

2692 papers

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.

Spin-Orbit Coupling Effects on the Structural and Electronic Properties of Planar Pentagonal p-MS2_{2} (M = Si, Ge, and Pb)

This study employs density functional theory to demonstrate that spin-orbit coupling significantly alters the structural and electronic properties of planar pentagonal p-MS2_{2} (M = Si, Ge, Pb) materials, stabilizing the Ge and Pb variants while inducing a metal-to-semiconductor transition in p-PbS2_{2} with a 0.475 eV band gap, thereby suggesting its potential for gas-sensing applications.

Phuc-Dang Truong, Cao-Huu-Tai Nguyen, Nguyen-Bao-Tran Ngo, Khanh-Van Huynh, Jan Minar, Worawat Meevasana, Yen-Mi Tran, Trung-Phuc Vo2026-05-29🔬 cond-mat.mtrl-sci

Optical Cooling of Nuclear Spins in a CdTe/CdZnTe Quantum Well: The Impact of Kinetic Local Fields on Cooling Efficiency

This study investigates the optical cooling of nuclear spins in a CdTe/CdZnTe quantum well, identifying an optimal external magnetic field linked to the kinetic local field (BKLB_{KL}) and experimentally determining its value to be 1.0±0.41.0\pm0.4 G, which aligns with theoretical predictions based on indirect spin-spin interactions and estimated hyperfine constants.

V. M. Litvyak, P. S. Bazhin, R. André, K. V. Kavokin2026-05-29🔬 cond-mat.mtrl-sci

Macroscopic evidence of spatial modulation of conductivity in a microtextured ferromagnetic film

This study demonstrates that spatial magnetic inhomogeneities, specifically ferromagnetic domains and domain walls in a 75 nm-thick Fe0.5Pt0.5 film, produce macroscopically measurable conductivity modulations that significantly contribute to low-field magnetoresistance, particularly at low temperatures where their impact can exceed that of anisotropic terms.

C. P. Quinteros, L. Avilés-Félix, D. Goijman, L. Saba, D. Pérez Morelo, L. Granja, M. Granada, J. Milano2026-05-29🔬 cond-mat.mes-hall

Field-induced multipolar character in the dipolar ground state of the honeycomb rare-earth chalcohalide NdOF

This study establishes the honeycomb rare-earth chalcohalide NdOF as a model system where field-tunable reconstruction of crystalline electric field doublets drives a continuous evolution of the ground state from dipolar to dipolar-multipolar character, as confirmed by Raman spectroscopy and magnetization measurements.

Tiantian Liu, Yanzhen Cai, Mingtai Xie, Helin Mei, Anmin Zhang, Feng Jin, Jianting Ji, Zheng Zhang, Qingming Zhang2026-05-29🔬 cond-mat.mtrl-sci

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, Jiajie Wu, Zhilong Zhang, Lars Van Turnhout, Yorrick Boeije, Bofeng Xue, Qingyu Wang (…)2026-05-29🔬 cond-mat.mtrl-sci

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🔬 cond-mat.mtrl-sci

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🔬 cond-mat.mtrl-sci

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🔬 cond-mat.mtrl-sci

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🔬 cond-mat.mtrl-sci