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

Interpretable physics-informed retrieval-augmented generation language model for end-to-end inorganic crystal synthesis planning

This paper presents PIRAG-LM, an interpretable, physics-informed retrieval-augmented generation model that leverages a structured knowledge base of over 13,000 experimental records to accurately predict and plan end-to-end inorganic crystal synthesis routes, successfully guiding the experimental realization of five new compounds.

Wei-Jian Jiang, Ye-Nan Sha, Hui Guo, Jie Chen, Yu-Cai Liang, Ke Zhou, Qi-Long Gao, Dong-Lin Han, Xin-Gao Gong, Wan-Jian (…)2026-08-27
🔬 materials science

Direct current thermo-mechanical testing: Principles, uncertainty hierarchy, and its role in advanced materials characterisation

This review consolidates four decades of research on direct current thermo-mechanical testing (DC-TMT) to establish a formal uncertainty hierarchy, clarify its distinct advantages and limitations compared to conventional furnace-based methods, and provide guidelines for rigorous standardization and interpretation across diverse advanced materials.

Abdalrhaman Koko, Sodiq Abiodun Kareem, Olajesu Favor Olanrewaju, Rachael Williams, Justus Uchenna Anaele, Yuanbo T. Tan (…)2026-08-27
🔬 materials science

A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery

This paper presents a hierarchical synergistic deep-learning framework that integrates compositional, structural, and kinetic modules to overcome data limitations in multi-objective screening, successfully identifying 97 high-performance solid-state electrolytes from over 30 million candidates and revealing that Li+^{+} jump-network connectivity, rather than geometric site count, is the primary determinant of room-temperature ionic conductivity.

Hongwei Du, Dingyang Lv, Baole Wei, Yongheng Li, Feng Yu, Ziheng Lu, Siqi Shi, Hong Wang2026-08-27
🔬 materials science

Substitution effects in RuO2_2 single crystals

This study demonstrates that 10% vanadium substitution in RuO2_2 single crystals does not induce altermagnetism, as evidenced by the absence of magnetic ordering and unchanged paramagnetic susceptibility, while suggesting that higher substitution levels may significantly alter the electronic structure.

Shubhankar Paul, Kunihiko Yamauchi, Shogo Yamashita, Hisakazu Matsuki, Shuhei Iwashita, Mitsuhiko Maesato, Hiroshi Kitag (…)2026-08-27
🔬 materials science

Nuclearity of Copper Clusters on hBN/SiC Heterostructure Modulates Molecular Adsorption

This study utilizes DFT and machine-learning molecular dynamics to demonstrate that the nuclearity of copper clusters anchored at boron vacancies in hBN/SiC heterostructures critically modulates their electronic structure and gas adsorption reactivity, offering a defect-engineering strategy for tuning 2D material functionality.

Reza Khakpour, Arsalan Hashemi, Xiaoya Chang, Nima Ghafari Cherati, Mikko Karttunen, Tapio Ala-Nissila2026-08-27
🔬 materials science

Muonium dynamics as a probe for depth-resolved properties of 4H-SiC

This study utilizes low-energy muon spin rotation (LE-μ\muSR) combined with Monte-Carlo simulations to establish a quantitative method for depth-resolved profiling of carrier concentrations and dopant activation in n-type 4H-SiC, thereby offering critical insights for optimizing power electronic device fabrication.

Maria Mendes Martins, Piyush Kumar, Marianne E. Bathen, Robert J. Scheuermann, Zurab Guguchia, Lasse Vines, Ulrike Gross (…)2026-08-27
🔬 materials science

Bayesian Optimization for Self-Driving Materials Laboratories: From Algorithms to Physics-Informed Workflows

This review examines the application of Bayesian optimization to self-driving materials laboratories, detailing how it addresses practical experimental challenges through physics-informed strategies and surveying its transformative impact across diverse material domains while outlining future directions for knowledge-generating experimentation.

Yuki K. Wakabayashi, Takuma Otsuka2026-08-27
🔬 materials science

Rare-earth oxysulfides RE2_2O2_2S as model mixed-anion frustrated magnets

This paper reports the synthesis and characterization of rare-earth oxysulfide (RE2_2O2_2S) antiferromagnets with triangular-bilayer slab lattices, revealing that synthesis-dependent structural disorder significantly influences their frustrated magnetic ground states and highlighting the potential of mixed-anion materials for discovering novel quantum phenomena.

Austin M. Ferrenti, Ksenia Khoroshun, Mohamed Oudah, Graham King, Jonathan Gaudet, Alannah M. Hallas2026-08-27
🔬 materials science

Oxidation-resilient structural modifications in Nickel-functionalized 3D-graphene for hydrogen storage applications

This study demonstrates that functionalizing 3D-graphene with nickel nanoparticles enhances its hydrogen storage capabilities and oxidation resilience, as confirmed by comprehensive morphological, chemical, and thermal desorption analyses.

Filippo Fincato, Ylea Vlamidis, Markus Leitgeb, Georg Pfusterschmied, Ulrich Schmid, Valentina Zannier, Silvia Rubini, S (…)2026-08-27