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

Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction

The paper introduces Dara, an automated framework that utilizes exhaustive tree searches and robust Rietveld refinement to reliably identify and refine multiple phases in complex powder X-ray diffraction patterns, thereby reducing manual effort and minimizing misinterpretation in materials characterization.

Yuxing Fei, Matthew J. McDermott, Christopher L. Rom, Shilong Wang, Gerbrand Ceder2026-02-24
🔬 materials science

Origin of the large topological Hall effect in the EuCd2_2Sb2_2 antiferromagnet

This study attributes the large topological Hall effect in the antiferromagnet EuCd2_2Sb2_2 to three distinct mechanisms: Weyl states generated by C3C_3 symmetry breaking below the Néel temperature, Weyl states induced by strong spin fluctuations above it, and real-space Berry curvature arising from scalar spin chirality within antiferromagnetic domain walls.

Faheem Gul, Orest Pavlosiuk, Tetiana Romanova, Dariusz Kaczorowski, Piotr Wiśniewski2026-02-24
🔬 materials science

AI/ML-Driven Surface Plasmon Resonance (SPR) and Spectroscopy: Materials Interfaces and Autonomous Experiments

This review traces the evolution of Surface Plasmon Resonance (SPR) from fundamental kinetic studies to advanced sensing with electropolymerized molecularly imprinted polymers, highlighting how the integration of artificial intelligence, machine learning, and high-throughput experimentation enables the development of autonomous self-driving labs for the rapid discovery and optimization of next-generation materials and biomedical sensors.

Rigoberto Advincula, Jihua Chen2026-02-24