2692 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 demonstrates that magnetotransport measurements in a graphene layer adjacent to the insulating helical antiferromagnet NiI provide a sensitive, non-invasive electrical readout of the material's magnetic phase behavior, characterized by distinct anisotropic low-field peaks and nonlinear harmonic responses that vanish above the multiferroic transition temperature.
This study demonstrates that localized ligand-field excitons in atomically thin CrCl₃ exhibit activated migration driven by lattice relaxation, with transport dynamics tunable via surface recombination control, thereby establishing a new spectroscopic probe for nanoscopic exciton transport in 2D materials.
This paper proposes a phase-biased altermagnetic Josephson junction that utilizes superconducting phase and Néel-vector orientation to dynamically relocate Majorana corner modes, thereby enabling their unambiguous identification through control-correlated conductance switching that distinguishes them from trivial states.
This paper employs micromagnetic simulations and computational homogenization on digitized binder-jet printed Fe-Si steel microstructures to demonstrate that optimizing grain size and grain boundary phase thickness can effectively minimize both hysteresis and eddy current losses in electrical steel.
This paper introduces an efficient Epstein zeta function-based method that transforms the computation of many-body lattice sums from exponentially complex direct summation to linear-cost singular integrals, enabling high-precision studies of three-body interactions like the Axilrod-Teller-Muto potential and revealing pressure-induced structural transitions in condensed matter systems.
This paper identifies three anomalous cases—rotationless axial phonons, divergent gyromagnetic ratios, and anisotropic gyromagnetic ratios—that demonstrate phonon magnetic moments cannot be fully explained by conventional frameworks, thereby revealing new aspects of phonon magnetism and suggesting the existence of phononomagnetic hidden order.
This paper resolves the debate surrounding the nature of NiPS3's sharp photoluminescence by combining substitution experiments and theoretical calculations to demonstrate that the emission originates from a crystal-field-tuned spin-flip transition between a triplet ground state and a singlet excited state, thereby establishing a fundamental link between the material's optical properties and its magnetic order.
Ab initio calculations reveal that low-concentration vanadium doping in orthorhombic HfO yields a robust multiferroic insulator that maintains a significant band gap and intrinsic polarization while exhibiting linearly increasing ferromagnetism.
This paper derives generalized stochastic Landau-Lifshitz-Gilbert equations from first principles for spin-orbital coupled Mott insulators by incorporating electron-phonon interactions via a Keldysh path-integral formalism, thereby establishing a microscopic framework that accurately captures dissipative spin dynamics, thermal fluctuations, and non-equilibrium relaxation processes.
This paper introduces TEM Agent, a framework that leverages Large Language Models and the Model Context Protocol to enable text-based control of transmission electron microscopy subsystems, data management, and high-performance computing resources, thereby simplifying complex workflows without requiring additional model training.