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

AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials

This paper introduces AtomWorld, a benchmark evaluating large language models on crystalline material structure modifications, which reveals that while models like Claude Opus 4.6 perform well on basic tasks, their success drops significantly with complex spatial reasoning, suggesting they are better suited as scientific copilots than autonomous agents.

Taoyuze Lv, Alexander Chen, Fengyu Xie, Chu Wu, Jeffrey Meng, Dongzhan Zhou, Yingheng Wang, Bram Hoex, Zhicheng Zhong, T (…)2026-05-29
🔬 materials science

Multimode magnon-phonon cavity driven by symmetry-locked strain fields

This paper demonstrates that anisotropic local strains, induced by structural domains in an epitaxial La0.7Sr0.3MnO3/SrTiO3 heterostructure, deterministically lock split magnon branches to crystalline axes to enable robust, multimode magnon-phonon hybridization and transduction despite spatial inhomogeneity.

Chunli Tang, Yujie Zhu, Dayne Sasaki, Jiaxuan Wu, Yuzan Xiong, Harshil Goyal, Masoud Mahjouri-Samani, Mark Adams, Xiang (…)2026-05-29
🔬 materials science

MiAD: Mirage Atom Diffusion for De Novo Crystal Generation

This paper introduces MiAD, an equivariant joint diffusion model that utilizes a novel "mirage infusion" technique to dynamically alter the number of atoms during generation, thereby significantly improving the discovery of stable, unique, and novel crystalline materials compared to existing state-of-the-art approaches.

Andrey Okhotin, Maksim Nakhodnov, Nikita Kazeev, Mikhail Lazarev, Andrey E Ustyuzhanin, Dmitry Vetrov2026-05-29
🔬 materials science

Discovery and recovery of crystalline materials with property-conditioned transformers

This paper introduces CrystaLLM-{\pi}, a conditional autoregressive framework that integrates continuous property representations directly into transformer attention mechanisms to enable robust inverse design of crystalline materials, successfully demonstrating capabilities in both recovering structures from X-ray diffraction patterns and generating novel, stable photovoltaic candidates with targeted band gaps.

Cyprien Bone, Matthew Walker, Bradley A. A. Martin, Kuangdai Leng, Luis M. Antunes, Ricardo Grau-Crespo, Amil Aligayev (…)2026-05-29
🔬 materials science

Peridynamic modeling of the crack velocity dependence via an incubation time fracture criterion

This study utilizes a peridynamic approach with an incubation time fracture criterion to model Ravi-Chandar and Knauss's experiments on Homalite-100, revealing that variations in the Mode-I stress intensity factor at constant crack velocities and the onset of micro-branching at higher velocities provide new insights into the nature of crack-velocity dependence in dynamic fracture.

M. Ignatev, P. Weißgraeber, E. Oterkus, L. Radtke2026-05-29
🔬 materials science

Revealing Short- and Long-range Li-ion diffusion in Li2_2MnO3_3 from finite-temperature dynamical mean field theory

By combining finite-temperature dynamical mean field theory with DFT+UU and nudged-elastic-band calculations, this study reveals that dynamical correlations significantly lower Li-ion migration barriers in paramagnetic Li2_2MnO3_3, providing a unified explanation for both short-range and long-range transport activation energies without requiring extrinsic disorder or clustered vacancies.

Alex Taekyung Lee, Kristin A. Persson, Anh T. Ngo2026-05-29
🔬 applied physics

Observation of Orbit-Orbit Torques: Highly Efficient Torques on Orbital Moments Induced by Orbital Currents

This study demonstrates that orbital currents generated by the orbital Hall effect in chromium can be efficiently injected into terbium to induce a highly effective orbit-orbit torque (OOT) with a dampinglike efficiency of ~3.66, offering a promising pathway for manipulating orbital magnetization in orbitronics.

Hongyu Chen, Han Yan, Xiaorong Zhou, Xiaoning Wang, Ziang Meng, Li Liu, Guojian Zhao, Zhiyuan Duan, Sixu Jiang, Jingyu L (…)2026-05-29
🔬 materials science

Geometry-based Discovery of Calcium Battery Cathodes Accelerated by Foundational Machine-Learned Models

This study employs geometry-based descriptors and foundational machine-learning models to screen the Materials Project database, successfully identifying 37 promising calcium battery cathode candidates, including specific materials with low migration barriers and stable charged states, thereby establishing a transferable workflow for accelerating the discovery of novel energy storage materials.

Dereje Bekele Tekliye, Achinthya Krishna Bheemaguli, Gopalakrishnan Sai Gautam2026-05-29
🔬 condensed matter

Strongly-coupled hybrid lattice-plasmons in layered cuprates

Using resonant inelastic X-ray scattering on Nd2-xCexCuO4, this study reveals a continuous evolution of collective charge excitations from acoustic plasmons to a gapped hybrid mode and finally to a 139 meV excitation at half-filling, demonstrating that strong coupling to lattice degrees of freedom unifies the charge dynamics across the Mott transition in electron-doped cuprates.

Ke-Jun Xu, Nathan Giles-Donovan, Stefano Agrestini, Jaewon Choi, Mirian Garcia-Fernandez, Kejin Zhou, Junfeng He, Costel (…)2026-05-29