4091 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 comparative analysis of zero-field remanent magnetization and magnetic relaxation data in the BCS superconductor LuNi2B2C and various hard ferromagnets, highlighting similarities and differences across TRM, IRM, and zigzag temperature sweep measurements to discuss their relevance for magnetization studies in diamond anvil cells.
This paper demonstrates a stable, low-temperature thermal oscillator driven by a magnetic field rather than complex power control, which utilizes the sharp thermal conductivity change at the superconducting transition of a metal-superconductor (Cu-Pb) joint to generate flexible sine or square-wave temperature oscillations with large amplitudes.
This paper introduces a rigorous nonradiative multiphonon (NMP) model for Deep-Level Transient Spectroscopy (DLTS) that corrects the significant errors and incorrect temperature dependencies found in the traditional Henry-Lang model by accounting for lattice relaxation and effective phonon correlations, demonstrating discrepancies of up to six orders of magnitude across 21 defects in 12 semiconductors.
This paper proposes a comprehensive framework for accelerating solid electrolyte discovery by integrating large AI models, including machine learning interatomic potentials and large language models, into a closed-loop autonomous system that bridges simulation, literature mining, and experimental validation to overcome current data and efficiency bottlenecks.
This paper reports the first experimental demonstration of electrical readout for 180-degree Néel vector reversal in atomically thin van der Waals antiferromagnetic CrSBr films by utilizing spin-dependent tunneling magnetoresistance in a heterostructure coupled to a spin-polarized layer.
This study demonstrates that the inability of 2-ethyl-1-hexanol to form highly stable vapor-deposited glasses under normal conditions is caused by its extremely limited surface mobility, which is over 10,000 times lower than that of ethylcyclohexane and requires significantly slower deposition rates to overcome.
This paper reports the discovery of fractional magnonic frequency combs in a high-quality magnetic sphere, where a detuned microwave drive compresses conventional integer frequency spacings via parametric three-magnon scattering to create high-density spectral grids with potential applications in precision metrology.
This study demonstrates that vapor-deposited stable glasses of the organic semiconductor TPD transform into supercooled liquids via propagating fronts with velocities dependent on substrate temperature but independent of activation energy, revealing that liquid mobility and glass structure are distinct factors governing thermal stability and suggesting universal behavior across glassformers.
This study demonstrates that symmetry breaking in a SrTiO thin film with a nanoscale interfacial dislocation network enables THz-induced phonon mode mixing and the generation of novel collective vortex-like modes, revealing a new pathway to control dynamical functional properties through real-space topology engineering.
This paper introduces a novel training approach for empirical interatomic potentials based on comparing second- and third-order irreducible derivatives with density functional theory calculations, demonstrating its superior accuracy in predicting phonon dispersion and thermal conductivity for ThO and UO compared to existing models.