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.

Dielectric Properties of Single Crystal Calcium Tungstate

This study utilizes microwave whispering gallery mode analysis to characterize the temperature-dependent biaxial dielectric permittivity and loss tangents of single-crystal calcium tungstate from room temperature down to 4 K, revealing improved cryogenic performance and identifying a magnetic loss channel relevant to quantum and bolometric applications.

Elrina Hartman, Michael E Tobar, Ben T McAllister, Jeremy F Bourhill, Andreas Erb, Maxim Goryachev2026-03-20🔬 physics.app-ph

Physics-informed neural network for predicting fatigue life of unirradiated and irradiated austenitic and ferritic/martensitic steels under reactor-relevant conditions

This study introduces a Physics-Informed Neural Network (PINN) framework that outperforms traditional machine learning models in predicting the low-cycle fatigue life of both unirradiated and irradiated austenitic and ferritic/martensitic steels by embedding physical constraints to ensure accurate, reliable, and interpretable assessments under reactor-relevant conditions.

Dhiraj S Kori, Abhinav Chandraker, Syed Abdur Rahman, Punit Rathore, Ankur Chauhan2026-03-20🔬 cond-mat.mtrl-sci

Phase-Field Model of Freeze Casting

This paper presents a quantitative phase-field model that extends thin-interface formulations to simulate the directional solidification of water-based solutions, revealing how anisotropic kinetic properties of the ice-water interface drive spontaneous parity breaking and lateral drifting of ice lamellae while demonstrating that key simulation parameters converge to allow for computationally tractable quantitative results.

Kaihua Ji, Alain Karma2026-03-20🔬 cond-mat.mtrl-sci

KAN-Enhanced Contrastive Learning Accelerating Crystal Structure Identification from XRD Patterns

The paper introduces XCCP, a physics-guided contrastive learning framework leveraging Kolmogorov-Arnold Networks to efficiently and accurately identify crystal structures and space groups from XRD patterns, thereby enabling scalable, high-throughput materials discovery and autonomous laboratory integration.

Chenlei Xu, Tianhao Su, Jie Xiong, Yue Wu, Shuya Dong, Tian Jiang, Mengwei He, Shuai Chen, Tong-Yi Zhang2026-03-20🔬 cond-mat.mtrl-sci

Origin of Bright Quantum Emissions with High Debye-Waller factor in Silicon Nitride

This study identifies the microscopic origin of bright quantum emissions in silicon nitride by demonstrating, through hybrid density functional theory, that negatively charged NSi_\text{Si}VN_\text{N} centers in specific C1h_{1h} configurations exhibit high Debye-Waller factors and linearly polarized zero-phonon lines at 2.46 eV and 1.80 eV, thereby enabling deterministic integrated quantum photonics.

Shibu Meher, Manoj Dey, Abhishek Kumar Singh2026-03-20🔬 cond-mat.mtrl-sci