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.
This study employs a high-throughput screening strategy on over 154,000 materials to identify 32 infrared nonlinear optical candidates with strong shift current responses, revealing that layered structures with symmetry and heavy -block elements are particularly promising for next-generation optoelectronic applications.
This paper proposes a degradation-aware design framework for lithium-ion batteries that models finite, interacting reservoirs of lithium, porosity, and electrolyte to demonstrate how minor, co-optimized adjustments to these internal resources can significantly extend service life without compromising energy density.
This paper demonstrates a scalable, maskless direct laser writing technique that precisely tunes the oxygen stoichiometry of YBCO thin films to create sub-micrometer grayscale patterns with spatially controlled superconducting properties, offering a new pathway for fabricating advanced superconducting nanostructures.
This paper validates a machine learning-based Bayesian parameter estimation framework for solar cells by demonstrating that incorporating dark shunt resistance, emphasizing shifted current during fitting, and utilizing specific illumination-dependent current-voltage curve combinations significantly enhances the accuracy of predictive modeling for device performance.
This paper introduces RAINBOT, a low-cost, open-source robotic liquid-handling platform built from a modified 3D printer that integrates a real-time browser-based digital twin and inverse-design framework to enable accessible, remotely supervised, and autonomous laboratory experimentation at a fraction of commercial costs.
This paper presents a variational statistical framework for thermal diffusion in complex solids, demonstrating that microscopic thermodynamic and kinetic fluctuations govern non-Arrhenius behavior while explaining how configurational entropy and competing energy fluctuations can restore approximately Arrhenius behavior at higher temperatures in solid solutions.
This paper introduces pyALDIC, an open-source, cross-platform Python library for augmented Lagrangian digital image correlation that features a GUI, scriptable API, adaptive quadtree meshing, and mask-aware subset splitting to enable efficient and reliable full-field displacement and strain measurements.
This paper introduces AEcroscopyWave, a custom-built characterization platform designed to bridge the gap between high-throughput industrial inspection and flexible, expert-driven research by enabling self-driving, agentic AI control over scanning probe microscopes and peripheral instrumentation.
This study reveals that strong - hybridization in chalcopyrite semiconductor quantum dots induces incoherent optical responses via Cu() Coulomb scattering, whereas weak hybridization preserves coherence, thereby establishing that avoiding --hybridized orbital character in photo-doped carriers is essential for designing quantum materials with coherent optical properties.
VecTree-RAG is an agentic retrieval-augmented generation framework that combines vector search for corpus-level document ranking with reasoning-guided tree traversal for precise evidence localization, achieving state-of-the-art performance and improved efficiency on scientific question-answering benchmarks by preserving and leveraging the structural context of academic literature.