4135 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 introduces ESU-MOF, a dataset and positive-unlabeled learning framework that fine-tunes large language models to predict the scalability potential of Metal-Organic Framework syntheses with 91.4% accuracy, thereby accelerating industrial deployment by addressing fragmented scale-up knowledge.
This paper presents a global digital image correlation framework that solves the correlation problem directly on the lattice mesh with automatic element deletion and data-driven damage detection, enabling robust, high-resolution tracking of crack initiation and propagation in architected materials where traditional continuum-based optical methods fail.
This study demonstrates that giant spontaneous Kerr rotations observed in bulk MnTe at telecommunication wavelengths arise from carrier self-doping rather than ideal altermagnetic order, as evidenced by the absence of such signals in stoichiometric thin films.
This paper reviews data-driven and machine learning approaches, particularly descriptor-based models and interatomic potentials trained on DFT data, that accelerate point defect simulations in solid-state materials by enabling rapid, quantum-mechanically accurate predictions of properties like formation energies and vibrational free energies for high-throughput screening and experimental integration.
Through Langevin dynamics simulations of vortex nanocrystals in superconductors, this study reveals that confinement induces a healing effect of topological defects at the edges during crystallization, resulting in a stationary defect profile that quantitatively matches experimental data and offers general insights into the physical properties of confined soft condensed matter nanocrystals.
Using in-operando positron annihilation spectroscopy on copper, this study demonstrates that electrically driven solids exhibit a reversible, non-equilibrium vacancy population driven by current-induced Frenkel-pair production rather than Joule heating alone, providing a defect-mediated mechanism for flash state phenomena.
This study reports the observation of a room-temperature third-order nonlinear anomalous Hall effect in the ferromagnetic metal Fe3GaTe2, which persists up to its Curie temperature (~350 K) and is attributed to the Berry curvature quadrupole, offering new avenues for nonlinear electronic devices.
This study reports the experimental observation of higher odd-order (third-, fifth-, and seventh-order) nonlinear Hall effects in magnetic topological insulator Mn(Bi1-xSbx)2Te4 thin flakes, attributing the phenomenon to Berry curvature multipoles and demonstrating its dependence on the Néel temperature and charge neutral point.
This paper presents a systematic analytic inverse-design framework for temporal metamaterials that leverages space-time duality to directly synthesize closed-form refractive-index modulations for tailored wave responses, such as mathematical operators and specific filters, without requiring iterative optimization.
This paper introduces a symmetry-based framework called "order-(dis)order family trees" to evaluate the true novelty of predicted crystal structures by identifying their relationships to known disordered parent phases, revealing that many seemingly novel ordered compounds are actually derived from existing disordered materials and highlighting the importance of this distinction for improving data-driven materials discovery.