2832 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.
Using atomistic wave-packet simulations, this study demonstrates that coherent phonon mode-conversion in gradient superlattices is primarily governed by long-range disorder rather than short-range order, offering a strategy to tailor thermal conductivity by manipulating interface arrangements.
This study demonstrates that Mn enrichment in induces a transition from a coplanar to a non-coplanar spin state via four-spin ring exchange interactions, thereby breaking time-reversal symmetry to generate a giant, full-space anomalous Hall effect without the need for external fields or strain.
This paper proposes two new research paradigms, "Matter-Data-Model-Potential-Agent" and "Data-Architecture-Encoding-Optimization-Inference," to extend the classical Materials Science Tetrahedron and effectively integrate artificial intelligence into materials discovery while advocating for a rational approach to defining resolvable scientific problems.
This paper presents a semi-automated, active learning-based segmentation pipeline that integrates a U-Net model with a novel SMILE core-set selection strategy to significantly reduce manual annotation effort while improving defect identification accuracy in additive manufacturing microstructure analysis.
This paper presents a generative inverse-design workflow using the MatterGPT Transformer and SLICES representation to discover 257 novel, thermodynamically stable 3D cold metals with specific band-edge distances, thereby expanding the chemical space for low-power electronics beyond the limitations of traditional high-throughput database screening.
This study presents a universal model and experimental investigation of the non-isothermal flow of Al-, Co-, and Cu-based alloys in various structural states, demonstrating strong correlations between theoretical predictions and experimental data to determine key parameters, critical deformation limits, and the fractal characteristics of corrugation folds.
This paper establishes a first-principles theory of vacuum Wannier functions that unifies tight-binding and nearly-free-electron models to enable predictive photoemission calculations without semiempirical potentials by constructing dense k-space scattering states at solid-vacuum interfaces.
This paper reviews the major advancements of the open-source PySCF framework over the past decade, highlighting new modules, methodologies, infrastructure changes, and performance benchmarks since its 2020 overview.
This study employs first-principles calculations to reveal that MgAgSb exhibits a progressive increase in lattice thermal conductivity across its , , and phases, driven by a complex interplay where four-phonon scattering suppresses particle-like transport in higher phases while coherent wave-like tunneling significantly contributes in the complex phase.
This paper presents a first-principles framework using ab initio transmission line model simulations to characterize metal/2D-semiconductor interfaces, revealing universal tunneling limits and identifying optimal contact strategies for next-generation 2D transistors as devices approach the sub-2 nm technology node.