4007 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 exa-PD, a highly scalable workflow that integrates LAMMPS-based molecular dynamics and Monte Carlo simulations with the Parsl engine and PyCalphad modeling to efficiently construct multi-element phase diagrams through massive parallelization.
This study employs first-principles DFT calculations to demonstrate that metallic BX3 (X = P, As) monolayers are promising high-performance anodes for sodium-ion batteries, offering exceptional theoretical specific capacities (up to 3875 mAh g⁻¹), ultralow Na-ion migration barriers, and stable metallic conductivity throughout the sodiation process.
This paper introduces ORCHESTRA, a multi-agent framework that enhances large language models for the inverse design of perovskite oxides by translating natural language rules into symbolic predicates within a domain-specific language, thereby enabling statistical validation and iterative refinement of design principles without requiring task-specific datasets or model retraining.
This short review establishes terahertz time-domain spectroscopy (THz-TDS) as a universal, non-destructive tool for quantifying and identifying specific grain-boundary defects in various organic-inorganic hybrid perovskite solar cells, proposing a three-pillar framework to guide defect engineering and enhance device efficiency through a closed-loop quality-control cycle.
This paper introduces a novel all-electrical spectroscopy technique for two-dimensional field-effect transistors that utilizes transconductance measurements to resolve the shape of hot-carrier energy distributions, enabling the extraction of key parameters like carrier energy and relaxation time without requiring optical readout.
This paper demonstrates a scalable, two-step plasma-assisted molecular beam epitaxy protocol that switches from N-stable to metal-stable conditions to grow smooth, compositionally homogeneous (In,Ga)N pseudo-substrates on GaN templates, which are ideal for fabricating red-emitting light-emitting diodes.
This study demonstrates reversible electrothermal control of a spin-reorientation transition in Co/Fe₃GaTe₂ heterostructures, where Joule heating modulates the competition between the metallic Co overlayer and the van der Waals magnet to enable heat-assisted, device-level manipulation of magnetic anisotropy.
Contrary to the expectation that real-world surface roughness hinders structural superlubricity, this study demonstrates that nonuniform pressure distributions, particularly those with vanishing pressure at contact edges, actually enhance superlubricity by improving depinning and scaling behaviors to lower friction.
This study demonstrates that structural relaxation transforms metastable glassy selenium iodine (SeI2) into an ordered lamellar phase, enabling millisecond-scale infrared photodetection with high detectivity and uniform carrier collection for practical thermal imaging applications.
This study combines scanning 3DXRD experiments with thermomechanical crystal plasticity simulations to investigate how rapid cyclic heating induces grain-resolved plastic deformation and degradation hotspots in copper power metallization, thereby establishing a foundation for microstructure-informed reliability assessment.