3501 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 mixed quantum-classical surface hopping simulations to demonstrate that valley depolarization in monolayer MoS is primarily driven by a resonance between the dominant optical phonon branch and the lowest exciton band, which activates a Maialle–Silva–Sham mechanism and yields polarization times consistent with experimental measurements.
This paper introduces an equivariant graph neural network (EGNN) surrogate model that accurately predicts relaxed atomic configurations, formation energies, and strain tensors for lithium cobalt oxide across various compositions, offering a flexible alternative to traditional cluster expansions and reducing the need for computationally expensive density functional theory (DFT) calculations.
This theoretical study reveals that ferromagnetic skyrmion crystals on a honeycomb spin lattice exhibit chiral topological edge states in the first magnon gap and potential frequency-multiplexed transport, demonstrating how non-Bravais lattice geometry fundamentally alters magnon topology compared to conventional Bravais lattices.
This study utilizes Brillouin-Mandelstam spectroscopy to characterize the pronounced anisotropy and distinct velocity differences between bulk and surface acoustic phonons in gallium oxide single crystals, revealing that thermal conduction anisotropy stems from phonon velocity variations rather than lifetime differences.
This study elucidates the mechanism of three-magnon splitting in synthetic antiferromagnet spin wave conduits, revealing that low-order optical spin waves decay into parallel channels of non-degenerate acoustic doublets with standing wave characteristics, a finding with significant implications for nonlinear microwave signal processing applications.
This study employs a multiscale framework integrating molecular simulations, process optimization, and techno-economic analysis to evaluate the CALF-20 isoreticular series for biogas upgrading, identifying the parent CALF-20 material as the most economically viable option with a methane production cost of $4.31/kg and energy consumption of 9.35 kWh/kg.
This paper presents a material-to-process modeling framework that integrates macrostate probability distributions from flat-histogram Monte Carlo simulations with cyclic process optimization to accurately and efficiently predict multicomponent adsorption equilibria for binary and ternary gas separations, thereby overcoming the limitations of traditional methods in designing energy-efficient adsorption processes.
This perspective outlines how generative AI models, including variational autoencoders, diffusion models, and large language agents, are revolutionizing metal-organic framework (MOF) discovery by shifting from manual enumeration to autonomous design and synthesis, thereby accelerating the development of high-performance materials for clean air and energy applications while addressing challenges in synthetic feasibility and data diversity.
This paper demonstrates a molecular strategy to assemble one-dimensional iron chains into two-dimensional van der Waals metal-organic frameworks, where chemical substitution and twist-engineering of exfoliated heterostructures enable precise tuning and switching of highly anisotropic optical properties.
This paper proposes that the enigmatic pseudogap state in cuprates, characterized by Fermi arcs and reduced carrier density, originates from a structural reconstruction that introduces a symmetry-enforced sublattice degree of freedom, which, when combined with spin-orbit coupling, naturally explains these experimental signatures through Fermi surface reconstruction and matrix-element interference.