4173 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 reports the synthesis of single-crystalline quasi-two-dimensional Kondo lattice CeSnSb and demonstrates a rare inverse magnetic melting effect where low in-plane magnetic fields restore translational and rotational symmetries by transforming a fragile antiferromagnetic order and cluster glass ground state into a polarized paramagnetic phase.
This paper introduces an atom-by-atom inverse design framework that integrates Nano-Topology Optimization with conditional diffusion models to overcome continuum limitations by explicitly accounting for crystal symmetry and surface physics, thereby enabling the discovery of high-performance metallic nanostructures like aluminum nanocantilevers and nanopillars.
This paper demonstrates how large language models and AI agents can lower the programming barrier for laboratory automation by enabling researchers to easily create custom control scripts and develop autonomous systems for operating complex scientific instruments.
This paper introduces a transfer-learning framework utilizing generative molecular language models, pretrained on extensive chemical data and fine-tuned with curated energetic materials datasets, to overcome data scarcity and accelerate the discovery of next-generation energetic materials through fragment-based encodings.
This paper demonstrates coherent, broadband microwave-to-optical transduction in the layered antiferromagnet CrSBr by leveraging strong magnon-exciton coupling at excitonic resonances, offering a scalable and efficient alternative to existing transducer technologies that often sacrifice performance for noise reduction or integrability.
KappaFormer is a physics-aware Transformer model that leverages cross-domain transfer learning between harmonic elastic properties and limited anharmonic thermal conductivity data to accurately predict lattice thermal conductivity and accelerate the discovery of materials with ultralow thermal conductivity.
Using molecular simulations, this paper demonstrates that the temperature and system-size dependence of dynamical heterogeneity in supercooled liquids can be explained by a zero-temperature avalanche criticality framework.
This paper establishes a unified first-principles framework for defining and calculating arbitrary-order spin magnetic multipole moments in antiferromagnets by introducing a nonlocal spin density, enabling the systematic extraction of these multipole degrees of freedom and clarifying their relationship to experimental observables and symmetry principles.
Through molecular dynamics simulations, this study proposes that the complex slow dynamics and spatial heterogeneity of supercooled liquids can be unified under a zero-temperature avalanche criticality framework governed by the potential energy landscape, thereby explaining previously unexplained phenomena near the mode-coupling transition.
This study demonstrates that strain engineering and interfacial design in SrNbO/LaFeO heterostructures stabilize a Weyl semimetallic phase, evidenced by chiral transport signatures and confirmed by first-principles calculations linking the topological state to specific octahedral distortions and screw axis symmetry.