4886 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 identifies and experimentally validates a robust, room-temperature orbital-selective flat-band mechanism in van der Waals transition-metal oxychlorides (NbOCl2 and TaOCl2), arising from specific orbital hybridization and Peierls dimerization, thereby establishing a new design principle for realizing exotic quantum phases.
This paper presents NanoBTE, a deterministic finite-volume solver that efficiently solves the non-gray phonon Boltzmann transport equation for complex nanoscale geometries by integrating advanced boundary conditions, band-resolved properties, and hybrid CPU-GPU parallelization with synthetic iterative schemes to accelerate convergence in multiscale heat transport simulations.
This paper proposes a materials property hierarchy and evidence-based framework to address the challenges of substantiating novelty in AI-driven materials discovery, arguing that current limitations in multimodal data integration and benchmarking must be overcome through community-wide standards to enable the design of experimentally realizable materials.
This paper applies group theory and tensor analysis to systematically map the symmetry-dependent physical and vibrational properties of ferroelectric PbZrxTi1-xO3, revealing that its morphotropic phase transition involves a continuous redistribution of Raman spectral intensity rather than the emergence of new modes, while highlighting the role of local symmetry breaking in interpreting its functional behavior.
This paper establishes a theoretical framework linking the symmetry-enforced zeros of electronic wavefunctions at high-symmetry momenta to band topology, enabling the direct experimental determination of topological invariants via scanning tunnelling microscopy and providing insights into interaction effects in correlated materials.
This paper introduces a machine learning method that improves the accuracy of predicting unit cell parameters from powder X-ray diffraction data by using a novel, convention-independent invariant lattice bispectrum representation as the model target instead of directly predicting the parameters themselves.
This paper introduces a property-guided DiffCrysGen framework that utilizes classifier-free guidance to efficiently generate thermodynamically and dynamically stable crystalline materials with target properties, while revealing that stronger guidance enhances structural symmetry and physical viability.
This study demonstrates that grain boundary diffusion using an Al-Zn alloy source at 900°C significantly enhances the coercivity of sintered NdFeB magnets by 21.7% through the formation of a continuous, high-anisotropy core-shell microstructure and improved grain boundary decoupling, offering an effective non-heavy-rare-earth strategy for high-temperature applications.
This study demonstrates the direct current-induced creation and manipulation of embedded magnetic skyrmion bags in FeGe nanoplates under zero magnetic field, revealing a spin-transfer-torque-driven mechanism that enables electrical control over complex topological structures like magnetic monopoles and bobbers for future spintronic applications.
This study reveals that domestic cat hairs are not uniform fibers but functionally graded composites, where variations in layered keratin walls, melanosome-like granules, and calcium enrichment along the hair's length create a structure-function relationship that correlates with local mechanical properties.