4797 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 paper reports that Dyakonov-Perel-type magnon spin relaxation governs spin current transport along the easy axis in uniaxial antiferromagnetic insulators Cr₂O₃ and α-Fe₂O₃, evidenced by magnetic field-induced signal enhancements and diffusion length behaviors that align with a theoretical model.
This paper introduces a quantitative Voltage-Current-Emission framework that integrates equivalent circuit models and carrier dynamics to simulate and interpret time-resolved electroluminescence across diverse LED devices, providing theoretical guidance for advancing LED technology in AI applications.
This study provides the first direct experimental evidence of vortex-mediated spin current injection in an NbSe2/LAFO heterostructure, demonstrating that vortices in the liquid phase act as efficient carriers of spin angular momentum through a sign-reversed thermoelectric signal, thereby establishing a new pathway for superconducting spintronic devices.
This paper evaluates the current landscape of inorganic computational materials databases, identifying that while methodological capabilities are mature, the primary barrier to expansion is the economic cost of achieving trustworthy accuracy, and proposes a three-horizon roadmap to systematically address these gaps and unlock high-cost property families through advanced workflows and community governance.
This paper introduces orbital fingerprints derived from projected density of states as effective descriptors for machine-learning models to accurately predict magnetic ordering, moments, and phase diagrams across the Mn-Ni-Ga Heusler ternary system, overcoming the limitations of traditional composition-based rules.
This review systematically summarizes recent methodological advances and applications of machine learning, including large language models, in accelerating the rational design of high-entropy alloy catalysts by overcoming the challenges posed by their vast compositional space.
This study combines first-principles calculations with stochastic self-consistent harmonic approximation and Boltzmann transport theory to demonstrate that anharmonic phonon renormalization stabilizes the high-temperature -SnSe phase and reveals that n-type monolayer SnSe exhibits superior thermoelectric power factor and defect tolerance compared to its p-type counterpart.
This study employs time-dependent density-functional theory to characterize the plasmonic response of twisted bilayer graphene, revealing that large-angle structures preserve Dirac plasmons with geometric scaling while small-angle magic-angle configurations exhibit distinct interband plasmons arising from transitions within quasi-flat bands.
By revealing divergent solid-state conversion mechanisms in sequentially evaporated wide-bandgap and narrow-bandgap perovskite stacks, this study establishes bandgap-specific control as a design principle to enable the first evaporated all-perovskite tandem solar cell with a 19.2% efficiency and enhanced thermal stability.
By applying an ultralow 0.1% biaxial tensile strain to a ReS2/MoSe2 van der Waals heterostructure, researchers achieved an 8-fold enhancement in photoluminescence quantum yield through efficient exciton funneling and increased transition dipole moments, a mechanism confirmed by theoretical calculations to be distinct from optical interference effects.