🔬 Category

cond-mat.mtrl-sci

4091 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

Physics-Informed Attention Mechanism and Generalization Capability of Deep Learning-Based Grain Growth Evolution Prediction

This study demonstrates that a deep learning model for grain growth prediction, enhanced by a physics-informed boundary-masked attention mechanism, achieves robust out-of-distribution generalization across diverse microstructural conditions without retraining, significantly improving prediction accuracy and aligning with curvature-driven physical principles.

Pungponhavoan Tep, Marc Bernacki2026-06-17
🔬 materials science

General Method for Evaluation of Stop-Bands of Periodic Structures with Symmetric Unit Cells

This paper presents an exact method that exploits mirror symmetries in periodic unit cells to decompose eigenproblems into four independent sub-problems on a quarter-cell, enabling the efficient calculation of stop-band intervals via explicit formulas derived from just three discrete wavevectors without computing the full dispersion diagram.

Alexander Hvatov, Mariia Krasikova, Aleksandra Pavliuk, Steffen Marburg2026-06-17
🔬 materials science

Lifetime Sample Tracking (LiST): A Data Platform for Materials Science

The Lifetime Sample Tracking (LiST) platform is a comprehensive data management system developed by the 2DCC-MIP to automate the curation, analysis, and dissemination of diverse materials science data, thereby enabling closed-loop synthesis-design iterations and supporting machine learning research for approximately twenty thousand samples.

Anthony Richardella, Isaiah A Moses, Konrad Hilse, Frank Santaguida, Kevin Dressler, Ric Wilburn, Saiyyam Kochar, Wesley (…)2026-06-17
🔬 materials science

Distinguishing Majorana zero modes from trivial defect states on the surface of the iron-based superconductor Fe(Te,Se)

Using spin-polarized scanning tunneling spectroscopy, this study demonstrates that near-zero-energy localized states observed on the surface of the iron-based superconductor Fe(Te,Se) are topologically trivial Yu-Shiba-Rusinov states rather than Majorana zero modes, highlighting the critical role of spin-dependent analysis in distinguishing true topological signatures from trivial defect states.

Dongfei Wang, Jon Ortuzar, Freek Massee, Ruidan Zhong, Genda Gu, Wende Xiao, Yugui Yao, Roland Wiesendanger2026-06-17
🔬 materials science

Probing La-based nickelates with Ni 1ss core-level photoelectron spectroscopy

This study demonstrates that Ni 1s1s core-level photoelectron spectroscopy overcomes the spectral overlap issues inherent in Ni 2p2p measurements of La-based nickelates, offering a clearer view of intrinsic electronic excitations and enabling detailed comparisons across the Ruddlesden-Popper series.

Daisuke Takegami, Naoki Ito, Koto Fujinuma, Masato Yoshimura, Grace A. Pan, Dan Ferenc Segedin, Qi Song, Hanjong Paik, C (…)2026-06-17
🔬 materials science

AC-flux-driven SQUID diode spectroscopy as a probe of current-phase relations

This paper proposes and validates a method to unambiguously extract individual current-phase relation harmonics in asymmetric SQUIDs by analyzing the distinct Bessel-function-modulated signatures of the ac-flux-driven diode effect, offering a robust spectroscopic tool for investigating unconventional superconductors.

Yuriy Yerin, Iman Askerzade, Alexey Fedorchenko, Ali Gencer, Oleksandr Dobrovolskiy2026-06-17