4797 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 study establishes a unified dislocation-based framework for asymmetric non-CSL grain boundary sliding in FCC metals, revealing that the process is governed by a hierarchical structure where secondary misfit dislocations and their dissociated partials facilitate sliding through thermally activated kink-pair mechanisms below the athermal stress.
This paper presents a property-registry contract that employs conflict diagnosis to either retrieve a valid thermal-mechanical lattice design from a large catalogue or, when no solution exists, provide inclusion-minimal unsatisfiable subsets and specific repair slacks to guide engineers in relaxing constraints, thereby outperforming nearest-neighbor approaches that often violate critical limits.
This paper introduces AIDEN, an atomic-interaction density equivariant neural network that achieves state-of-the-art accuracy and zero-shot transferability in predicting real-space charge densities for both periodic crystals and molecules while offering significantly faster inference than traditional self-consistent field calculations.
This study combines CALPHAD calculations with random-forest-guided active learning to design and identify 100 Ru-stabilized Nb-based refractory alloys featuring a stable high-temperature BCC matrix and B2 precipitates, establishing practical compositional rules and highlighting lattice misfit as a key design target.
This study presents a simple, AI-driven automated experimentation platform that integrates off-the-shelf instruments and 3D-printed components to reliably automate and quantitatively record materials synthesis processes, successfully demonstrating the synthesis of ZIF-8 and revealing how precise control of dispensing speed influences particle size distribution.
This paper combines experimental and numerical studies of thermally stimulated depolarization in hafnium oxide to demonstrate that the multiphonon ionization mechanism of isolated traps best explains the observed behavior, yielding similar thermal energies of approximately 1.3 eV for both electron and hole traps.
This paper demonstrates a novel, high-sensitivity luminescence thermometry approach that combines RGB-based imaging with a conventional digital camera and multiple linear regression analysis to achieve a more than threefold enhancement in relative sensitivity for spatially resolved temperature readout using Ca3Al2O6:Mn2+-Ce3+ phosphors.
This study introduces Cs2HfCl6:Re4+ as a novel, highly sensitive luminescent pressure indicator that offers a 15-fold improvement in pressure sensitivity over the traditional ruby standard while enabling ratiometric readout, thereby establishing a new class of materials for advanced optical manometry.
This study demonstrates that introducing co-dopant ions with controlled ionic-radius mismatch in K3Lu(PO4)2:Eu3+ serves as a quantitative structural lever to precisely tune phase-transition temperatures and broaden thermal operating ranges, thereby enabling the rational design of high-performance luminescent thermometers and other functional materials with tailored thermodynamic properties.
This paper introduces a cylindrical sintering method to generate nanocrystalline aluminum thin films with more realistic, disordered grain boundaries than traditional Voronoi tessellation, demonstrating that this geometric approach yields lower mechanical properties and an inverse Hall-Petch relationship independent of the interatomic potential used.