3247 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 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.
The study demonstrates that introducing Janus-induced mirror-symmetry breaking in MoSSe/MoS2 bilayers promotes atomic reconstruction into distorted aperiodic patterns, which significantly weakens interlayer coupling and amplifies the twist-angle dependence of thermal conductance by nearly an order of magnitude compared to conventional twisted bilayer MoS2.
This study employs density functional theory and machine-learning interatomic potentials to investigate the thermoelectric properties of LiCdSb, revealing a low lattice thermal conductivity and a figure of merit (ZT) exceeding 1 at temperatures above 600 K, which positions it as a promising candidate for high-temperature energy conversion.
This first-principles study demonstrates that while boron doping destabilizes the -FeO lattice, co-doping with yttrium restores structural stability and synergistically enhances the material's low-energy absorption and optical response, offering a viable strategy for tailoring hematite for advanced photoactive and optoelectronic applications.
This paper demonstrates that defining a micromechanical response function to local force monopoles in a mean-field glass model reveals exact relations between local stiffness and global susceptibilities, thereby bridging the model's non-equilibrium Replica-Symmetry-Breaking phase with finite-dimensional glasses and linking its soft mode statistics to the boson peak.