4179 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.
This paper proposes a Griffith's theory-based analytical model for alkali metal dendrite growth in ceramic solid electrolytes, demonstrating that the critical current density scales with the 3/2 power of the longest pre-existing interfacial defect and follows a Weibull distribution due to the principle of minimal power dissipation.
This paper introduces a Transformer-based multi-target surrogate model that achieves DFT-level accuracy in predicting the electronic and phonon properties of strained two-dimensional materials while using attention mechanisms to reveal shear strain as the critical interaction center, thereby overcoming the computational limitations of traditional methods for deep elastic strain engineering.
This study demonstrates that intrinsic cation disorder in nominally cubic CuInSnS single crystals induces local symmetry breaking that decouples excitonic and phononic behaviors, causing excitons to exhibit pronounced polarization anisotropy while phonons remain largely homogeneous, thereby enabling new anisotropic optical functionalities in cubic multinary semiconductors.
This paper introduces a new paradigm in the DL_POLY 5 molecular dynamics code that enables efficient simulation of very large systems (billions of atoms) by calculating key system properties on-the-fly, thereby eliminating the traditional bottleneck of storing and post-processing massive trajectory files.
This paper introduces a novel graph-theoretic framework that encodes the geometry and topology of space-filling polyhedra into dual periodic graphs to systematically generate crystal structures, offering a more efficient and interpretable alternative to conventional random generation methods for accelerating materials discovery.
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.
This study identifies high-density, sessile Frank dislocation loops as the intrinsic cause of brittleness in single-crystal iridium, revealing a unique stress-induced transformation mechanism that impedes dislocation glide and establishes a new embrittlement pathway for FCC metals.
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.
This study employs phase-field simulations to demonstrate that the growth direction of lamellar ice structures during directional solidification is governed by spontaneous parity breaking, providing a theoretical framework to quantitatively predict tilt angles and interpret experimental observations in ice templating.
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.