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 proposes that alkali-metal decoration of a tetragonal CoSe monolayer creates stable 2D ferromagnetic metals with room-temperature Curie temperatures and large in-plane magnetic anisotropy, establishing a viable strategy for high-performance nanoscale spintronics.
This study characterizes the diluted van der Waals ferromagnet Fe1/5CrTe2, revealing that while Fe-induced disorder and spin fluctuations dominate its magnetotransport and anomalous Hall response, the material retains a robust intrinsic Berry-curvature contribution that scales linearly with magnetization.
This study reports the synthesis and characterization of tetragonal spinel CoMn2O4, which exhibits ferrimagnetic transitions, exchange bias, and magnetodielectric coupling below 86 K, yet lacks intrinsic ferroelectric order despite correlations between lattice dynamics and spin ordering.
This paper analyzes the second-order transition from Néel to Bloch domain walls in magnetic films as thickness increases, identifying a critical unstable mode that mediates the transition and exhibits square-root frequency scaling near the critical thickness.
This review examines how recent advances in materials science, device characterization, and nanofabrication are overcoming critical challenges in Josephson junction reproducibility, dissipation, and scalability to enable the transition from laboratory components to industrial-scale superconducting quantum processors.
This paper introduces a self-heating electrochemical cell that functions as a non-volatile, programmable linear resistor with nine decades of resistance range and high precision, overcoming the non-linearity and error limitations of existing memory technologies to enable efficient in-sensor analog signal processing and in-memory computing.
This paper presents a robust U-Net-based deep learning framework combined with a geometric analysis pipeline to quantitatively characterize the evolution of magnetic labyrinthine stripe patterns in Bi:YIG films, revealing distinct structural transition modes linked to field polarity during magnetic annealing.
This study demonstrates that compressive strain stabilizes an altermagnetic phase in epitaxial RuO films by enhancing the density of states near the Fermi level, with symmetry analysis revealing ideal altermagnetism in (100) films versus an uncompensated ferrimagnetic state in (110) films.
LitMOF is a large language model-driven multi-agent framework that validates and corrects structural errors in metal-organic framework databases by cross-referencing original literature, resulting in a curated dataset of nearly 187,000 computation-ready structures and the discovery of over 12,000 previously unrecorded experimental MOFs, thereby preventing systematic errors in materials discovery workflows.
This paper introduces CatMaster, a multi-agent framework that successfully automates the end-to-end computational catalysis research lifecycle—from project conception and simulation execution to manuscript production—demonstrating practical capabilities in self-discovery and catalyst design while identifying the need for tighter integration with physical engines to achieve full scientific closure.