🔬 Category

cond-mat.mtrl-sci

4857 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

Symmetry-Adapted Physical and Vibrational Properties of Ferroelectric Perovskite Oxides: Application to PbZrxTi1-xO3

This paper applies group theory and tensor analysis to systematically map the symmetry-dependent physical and vibrational properties of ferroelectric PbZrxTi1-xO3, revealing that its morphotropic phase transition involves a continuous redistribution of Raman spectral intensity rather than the emergence of new modes, while highlighting the role of local symmetry breaking in interpreting its functional behavior.

Sumit Ranjan Maity, Brajesh Tiwari2026-07-27
🔬 physics

Learning Lattice Parameters from Powder X-Ray Diffraction Data Using Invariants

This paper introduces a machine learning method that improves the accuracy of predicting unit cell parameters from powder X-ray diffraction data by using a novel, convention-independent invariant lattice bispectrum representation as the model target instead of directly predicting the parameters themselves.

Elyssa Hofgard, Kyucheol Min, Nofit Segal, David W. Mittan-Moreau, Aria Mansouri Tehrani, Vanessa Oklejas, Jigyasa Nigam (…)2026-07-27
🔬 materials science

Effect of Al-Zn alloy wafer grain boundary diffusion on the magnetism and microstructure of sintered NdFeB magnets

This study demonstrates that grain boundary diffusion using an Al-Zn alloy source at 900°C significantly enhances the coercivity of sintered NdFeB magnets by 21.7% through the formation of a continuous, high-anisotropy core-shell microstructure and improved grain boundary decoupling, offering an effective non-heavy-rare-earth strategy for high-temperature applications.

Xi Liu, Wenxi Fang2026-07-27
🔬 mesoscale physics

Current-induced creation and dynamics of embedded magnetic skyrmion bags

This study demonstrates the direct current-induced creation and manipulation of embedded magnetic skyrmion bags in FeGe nanoplates under zero magnetic field, revealing a spin-transfer-torque-driven mechanism that enables electrical control over complex topological structures like magnetic monopoles and bobbers for future spintronic applications.

Yaodong Wu, Jialiang Jiang, Lingyao Kong, Meng Shi, Shouguo Wang, Mingliang Tian, Haifeng Du, Jin Tang2026-07-27
🧬 biology

Hair is a functionally graded composite, not a uniform fiber

This study reveals that domestic cat hairs are not uniform fibers but functionally graded composites, where variations in layered keratin walls, melanosome-like granules, and calcium enrichment along the hair's length create a structure-function relationship that correlates with local mechanical properties.

Andrew K. Schulz, Svetlana Griego, Vesna Srot, Giulia Ballardini, Natalia Gonzalez-Vazquez, Devin Sheehan, Felicitas Pre (…)2026-07-27
🔬 materials science

SAGE-Net: Semantics-Augmented Geometric Encoder for Material Property Prediction

The paper presents SAGE-Net, a novel multimodal framework that integrates crystallographic semantics directly into geometric message passing via a Semantic-Guided Message Passing (SGMP) mechanism, achieving state-of-the-art performance in predicting diverse material properties and synthesizability while ensuring physical interpretability.

Guanghui Zhang, Yuxuan Yao, Kieran B. Spooner, Jun Yin, Dan Han, David O. Scanlon, Lijun Zhang2026-07-27
🔬 materials science

Substrate-metal interface engineering enhances TaN/Ta thin film superconducting resonator performance

This study demonstrates that inserting a thin tantalum buffer layer between the silicon substrate and a tantalum nitride seed layer significantly enhances the internal quality factor of superconducting resonators by suppressing nitrogen accumulation and structural disorder at the interface, thereby reducing two-level system losses.

Moritz Singer, Harsh Gupta, Benedikt Schoof, Elena Willinger, Anton Orekhov, Alexandra Schewski, Samuil Kostadinov, Phil (…)2026-07-27