🔬 Category

cond-mat.mtrl-sci

3992 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.

🔬 materials science

A Unified Description of Electron-Phonon Coupling and Ion Migration in Metal Halide Perovskites

This paper establishes a unified electronic-structure framework demonstrating that the strong electron-phonon coupling and ion migration in metal halide perovskites originate from a common chemical bonding mechanism, where low-frequency shearing modes drive halide migration and high-frequency stretching modes govern carrier scattering, both of which can be predicted and optimized using a novel orbital hybridization descriptor.

Bo Cai, Yan Yang, Yoshiki Sugai, Maddison Wiles, Dongxu He, Yang Yang, Junmin Xia, Shufen Chen, Carla Verdi, Siyu Chen (…)2026-08-14
🔬 materials science

Dissipationless Photovoltaic Spin Hall Effect from Spin-current Vorticity

This paper proposes that spin-current vorticity drives a dissipationless photovoltaic spin Hall effect under dc electric fields, where the interplay with Berry curvature and quantum metric generates distinct time-reversal even and odd spin currents that can be switched by light helicity or Néel-vector reversal, respectively, establishing spin-current vorticity as a unifying concept for nonlinear spin Hall transport.

Longjun Xiang, Jian Wang2026-08-14
🔬 materials science

Giant exciton effects and magneto-excitonic coupling in V4S9X4 2D magnetic semiconductors

This paper proposes that cluster-assembled V4S9X4 monolayers overcome the conventional trade-off between robust ferromagnetism and giant exciton binding by utilizing a hierarchical design where intra-cluster localization supports strong electron-hole interactions and magnetic moments while inter-cluster coupling mediates room-temperature ferromagnetism, enabling tunable ultrafast optical responses and long-lived spin information storage for next-generation spin-photonic devices.

Yingjie Wei, Fan Zhang, Ying Zhao, Lixin Zhou, Yan Su, Yu Guo, Jijun Zhao2026-08-14
🔬 optics

All-optical switching of nonlinear structured light in crystal-engineered van der Waals materials

This paper demonstrates a monolithic, all-optical switching mechanism for nonlinear structured light in ultrathin, engineered 3R-MoS2_2 van der Waals crystals, enabling the dynamic generation of second-harmonic vortex beams with switchable topological charges to advance integrated nanophotonic technologies.

Paolo Valisa, Marc Richstaetter, Bianca Sanfilippo, Benedikt Ursprung, Zhi Hao Peng, Victoria Quiros-Cordero, Francesco (…)2026-08-14
🔬 materials science

DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation

The paper introduces DREAMS, a hierarchical multi-agent framework for density functional theory simulations that employs a multi-tier safety guard to verify every step and trace data provenance, thereby achieving high-accuracy, trustworthy, and near-autonomous materials research with significantly reduced error rates compared to unguarded systems.

Ziqi Wang, Hongshuo Huang, Hancheng Zhao, Changwen Xu, Shang Zhu, Jan Janssen, Venkatasubramanian Viswanathan2026-08-13
🔬 materials science

Teaching a Transformer to Think Like a Chemist: Predicting Nanocluster Stability

This study integrates density functional theory with a transformer-based artificial intelligence model to predict the stability and core-shell versus surface-segregated configurations of 13-atom bimetallic nanoclusters, achieving accurate energy predictions and interpretable insights into key chemical descriptors while adhering to FAIR/TRUE principles for reproducible materials discovery.

João Marcos T. Palheta, Octavio Rodrigues Filho, Mohammad Soleymanibrojeni, Alexandre Cavalheiro Dias, Diego Guedes-Sobr (…)2026-08-13
🔬 materials science

Bismuth-substituted Lutetium Iron Garnet Films with Giant Visible-Range Magneto-Optical Sensitivity

This study reports the pulsed laser deposition and characterization of bismuth-substituted lutetium iron garnet (LuBiIG) films, which exhibit an exceptionally high Verdet constant of up to -1.37e8 degree/meter/Tesla in the visible range, positioning them as promising materials for advanced magnetic sensing and hybrid quantum applications.

Megan H. Dransfield, Matthijs H. J. de Jong, Lars Peeters, Rhodri Mansell, Lukáš Flajšman, Laure Mercier de Lépinay, Seb (…)2026-08-13