3525 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.
The paper introduces Nexerra-R1, a building-block chemical language model that enables the inverse design of reticular materials by generating targeted organic linkers and assembling them into synthesizable metal-organic frameworks, successfully demonstrating this approach by rediscovering known structures and proposing a novel framework, CU-525.
This paper proposes and theoretically validates a gate-tunable synthetic antiferromagnet based on a graphene/MnS/graphene heterostructure, where breaking structural symmetry induces dominant nonrelativistic spin splitting and giant magnetoresistance, offering a promising platform for efficient spintronic devices.
This study demonstrates that a first-order structural phase transition involving Ge-Ge dimerization is intrinsically coupled to and essential for stabilizing the long-range charge-density-wave order in the kagome metal FeGe.
This paper presents a unified machine learning framework that combines machine-learned interatomic potentials with neural classical density functional theory to enable efficient, first-principles multiscale modeling of liquid thermodynamics and phase behavior across homogeneous and inhomogeneous systems.
This study demonstrates that applying Laser-Enhanced Contact Optimization (LECO) to atmospheric copper fire-through metallization on phosphorus-doped p-PERC solar cells induces stable Cu3Si interfaces, significantly reducing series resistance and enabling a scalable, silver-free pathway for high-efficiency, cost-effective solar cells.
This study demonstrates that while belt speed during copper fire-through metallization initially affects the electrical performance of PERC solar cells, subsequent LECO treatment effectively neutralizes this impact, resulting in identical high-efficiency outcomes (20.8%) across different processing speeds.
This study reveals that the degradation dynamics of perovskite solar cells under fixed reverse-current stress are dictated by the hole-transport layer, where thick PTAA layers lead to catastrophic breakdown while MeO-2PACz interfaces cause gradual, recoverable damage driven by ion- and charge-mediated electrochemical processes rather than shunt formation.
This paper reports the synthesis and characterization of CrRhAs single crystals, revealing an antiferromagnetic transition at 150 K, a sign-changing Hall coefficient linked to Fermi surface topology, and a pronounced enhancement of the Hall effect below the transition temperature indicative of Fermi surface reconstruction or magnon scattering.
This paper extends Flemings' model to derive composition-dependent expressions for the critical Rayleigh number governing channel segregation in multicomponent metal alloys, demonstrating that this threshold varies significantly with local solid fraction and thermophysical properties across different alloy systems.
This paper proposes a practical evaluation procedure, featuring normalization and syntax parsing, that enables domain experts to assess the validity of LLM-generated LAMMPS input scripts, thereby identifying common errors and establishing a path for integrating LLMs into scientific computing workflows without incurring costly computational tests.