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.

🔬 mesoscale physics

Layer-Dependent Vibrational and Optical Properties of Mo0.58W0.42Se2\mathrm{Mo}{0.58}\mathrm{W}{0.42}\mathrm{Se}_2 Alloy

This study systematically characterizes the layer-dependent vibrational and optical properties of Mo0.58_{0.58}W0.42_{0.42}Se2_2 alloys from monolayer to nine layers using a combination of experimental spectroscopy and first-principles calculations, establishing comprehensive spectroscopic fingerprints for non-destructive thickness determination and revealing significant thickness-induced modifications to the electronic band structure.

Szymon Socha, Tomasz Wozniak, Elena Blundo, Malgorzata Brzoska, Grzegorz Krasucki, Piotr Wrobel, Antonio Polimeni, Adam (…)2026-09-17
🔬 materials science

ERAF4XRD: A multimodal agentic framework for constructing validated experimental X-ray diffraction databases from scientific literature

ERAF4XRD is a fully automated, multimodal multi-agent framework that extracts, links, and validates X-ray diffraction data from scientific literature figures and text to transform unstructured publications into high-precision, machine-readable experimental datasets for AI-driven research.

Afnan Mostafa, William Ratcliff, Simon J. L. Billinge, Niaz Abdolrahim2026-09-17
🔬 materials science

Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents

This paper introduces SynAgent, a framework where multimodal large language model agents autonomously conduct experiments and iteratively refine explicit, human-readable hypotheses about material synthesis processes—such as identifying optimal temperature windows for LiCoO2 thin films—by adaptively generating analysis skills and employing a verify-falsify strategy to move beyond simple optimization toward testable scientific understanding.

Izumi Takahara, Kazunori Nishio, Akira Aiba, Shigeru Kobayashi, Takao Nakajima, Taro Hitosugi, Teruyasu Mizoguchi2026-09-17
🔬 mesoscale physics

Parity anomaly governs the thermal Hall response of chiral superconductivity in rhombohedral graphene above and below TcT_c

This paper establishes that the parity anomaly in (2+1)-dimensional field theory provides a parameter-free, exact formula for the thermal Hall response of chiral superconductivity in rhombohedral graphene, predicting a signal that emerges at the pair-formation temperature T∗T^* rather than the phase-coherence temperature TcT_c and offering a falsifiable test linking the sign of the thermal Hall coefficient below TcT_c to the anomalous Hall resistance measured above it.

Kumar Ghosh2026-09-17
🔬 materials science

Effect of independent parameters on nanoparticle sizes in magnetron-sputtering inert-gas condensation

This study utilizes multiple linear regression analysis to systematically quantify how independent process parameters, particularly the exit nozzle diameter, influence nanoparticle size and distribution in magnetron-sputtering inert-gas condensation, thereby enabling improved experimental control and process optimization.

Yizhou Wang, Evropi Toulkeridouc, Abisegapriyan K. S, Yair Ein-Eli, Panagiotis Grammatikopoulos2026-09-17
🔬 materials science

An Atlas and Design Rules for Single- and Dual-Atom Alloys

This study establishes design rules and an atlas for single- and dual-atom alloys by using density functional theory and experimental validation to demonstrate that dopant pairing stability is governed by a combined d-electron count near ten, enabling the engineering of targeted active site structures through host metal selection, surface facet tuning, and a novel "reactor-anchor" concept.

Fabian Berger, Yicheng Wang, E. Charles H. Sykes, Angelos Michaelides2026-09-17
🔬 materials science

Competing effects of Si and Mg doping on native point defects in yttrium aluminum garnet

By combining first-principles calculations with thermodynamic modeling, this study reveals that Si and Mg dopants exert opposing controls on native point defects in yttrium aluminum garnet, where their balanced co-doping effectively minimizes vacancy concentrations and explains the material's sensitivity to the Si/Mg ratio during sintering.

M. Yu. Vovsianiker, L. Yu. Kravchenko, D. V. Fil2026-09-16