4239 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 establishes a Landau theory for non-collinear achiral altermagnets and demonstrates that the Mott insulator NiS exhibits such phases with unique spin textures and multifunctional properties, offering a robust platform for spintronics applications.
This Roadmap synthesizes perspectives from leading experts to chart the current progress, critical challenges, and future pathways for 2D material valleytronics, covering established phenomena like valley excitons and Hall effects while exploring emerging frontiers such as lightwave control and spin-valley qubits.
This paper introduces a time-frequency hybrid coherent Raman spectroscopy technique that overcomes the challenge of metal non-resonant background interference through pulse engineering, enabling sensitive, label-free detection of Ångström-scale molecular layers on flat metal surfaces without relying on plasmonic or electronic enhancement.
This study utilizes NMR, Raman spectroscopy, and synchrotron XRD to demonstrate that the orthorhombically distorted ferrimagnet Ni4Nb2O9, despite sharing a local structural environment with its trigonal analogue Mn4Nb2O9, exhibits distinct average symmetry and undergoes pressure-induced lattice instabilities and phonon softening that drive a sequence of isostructural transitions culminating in a symmetry-lowering transformation to a monoclinic phase around 13 GPa.
This study evaluates 25 large language models on materials science tasks, revealing that while fine-tuning enhances symbolic consistency, numerical predictions remain unreliable due to inference variability and an "LLM head bottleneck" that favors embedding extraction over text output, alongside significant performance fluctuations in GPT models over time that challenge scientific reproducibility.
This paper presents an exact analytical framework for separating center-of-mass and relative motions in anisotropic two-dimensional magnetoexcitons, revealing new anisotropy-dependent couplings and providing precise, non-perturbative solutions for magnetoexciton properties in materials like monolayer black phosphorus and titanium trisulfide without relying on stationary-center-of-mass approximations.
This paper introduces Kernel-Averaged Mechanical Mismatch (KAMM), a neighborhood-informed feature that, when combined with elastic modulus and hardness, significantly improves the robustness and accuracy of phase clustering in nanomechanical property maps of multiphase materials under realistic conditions of low contrast and diffuse interfaces.
This paper presents a scalable, monolithic fabrication strategy that integrates high-stress silicon nitride membranes with distributed Bragg reflectors using dry processing techniques, achieving self-aligned optomechanical cavities with high optical finesse and mechanical quality factors while eliminating the alignment and stability bottlenecks of conventional methods.
This study demonstrates that embedding a single GaAs quantum dot in a dielectric metasurface enables simultaneous anti-bunched and super-bunched photon emission from neutral and charged exciton complexes, respectively, by enhancing weak charged exciton transitions to achieve comparable count rates.
Addressing the breakdown of Bloch's theorem in spatially varying composites, this paper establishes a foundational ab initio quantum theoretical framework for functionally graded materials that derives effective field equations for modulated Bloch states, revealing non-tensorial electromagnetic properties and enabling the predictive design of optimized electronic devices such as graded p-n junctions.