4941 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 presents a scalable, data-driven framework that screens a vast materials database to identify and classify 36 previously unreported altermagnets and 9 Luttinger-compensated ferrimagnets, establishing a high-throughput route for discovering unconventional antiferromagnets with promising spintronic applications.
This paper reports the successful synthesis of single-layered fluorographdiyne nanosheets up to 60×60 nm² on an Au(111) surface via a selective on-surface 2D covalent polymerization method that combines cobalt catalysis and coronene templating to overcome previous challenges in achieving large, defect-free domains.
This study investigates the ferroelectric switching characteristics of CVD-grown 3R-WSe2 bilayers using a graphene-based field-effect transistor, revealing that growth-induced structural disorder significantly impacts polarization switching while multi-domain kinetics govern the evolution of the ferroelectric response.
This paper introduces TMCgen, a manifold diffusion model that efficiently and accurately generates the three-dimensional geometries of diverse transition metal complexes by focusing on key degrees of freedom such as coordination angles and ligand torsions.
This paper establishes a general theoretical framework demonstrating that molecular chirality in dimerized dipolar arrays induces tunable topological edge states with unique stereochemical labeling, offering a controllable platform for quasi-one-dimensional topological quantum matter.
This paper proposes a novel multimodal learning approach to model the interfaces of stacked bilayer 2D materials and predict their emergent properties, addressing a gap in AI-driven materials discovery by demonstrating superior effectiveness and efficiency compared to baseline methods.
This paper demonstrates that a hybrid machine learning approach, which embeds physically informed elemental descriptors into the Redlich-Kister framework, effectively overcomes the data limitations of traditional CALPHAD modeling to enable robust, zero-shot prediction of thermodynamic interaction parameters for unknown or data-scarce alloy systems.
This study combines multi-wavelength Raman spectroscopy, photoluminescence, and density functional theory to reveal how resonant light-matter interactions and exciton-phonon coupling govern the temperature-dependent Raman response of bilayer 3R-MoS, including unique phenomena like low-temperature intensity quenching and non-equilibrium phonon temperatures.
This study utilizes a flat LDA||HDA interface and SOAP-based neural network analysis to demonstrate that MDA-like intermediate states are not a distinct bulk phase but rather localize at the interface, exhibiting an elastic response with kinetic hysteresis during the pressure-induced polyamorphic transformation.
This paper argues that while altermagnetic effects in MnF are suppressed in low-energy electronic properties and doping scenarios due to the strong-coupling regime, they induce a dramatic enhancement in the magneto-optical response at high energies where the altermagnetic splitting directly influences interband transitions.