2732 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 identifies NaYb(MoO) as a rare example of a dipolar quantum paramagnet where weak exchange interactions and strong single-ion anisotropy within a stretched diamond lattice prevent long-range magnetic order down to 50 mK, leaving the system dominated by dynamic dipolar correlations.
This study establishes a non-invasive atomic force microscopy methodology to detect and quantify sub-band carrier mobilities in the two-dimensional electron gas of reduced SrTiO(001) by analyzing bias-dependent dissipation peaks linked to quantum capacitance variations and Kohler's rule under magnetic fields.
This study investigates the competing crystallization pathways and cold crystallization kinetics of the liquid crystal 10OS5, revealing that its thermal history can be manipulated to tune the energy released during phase transitions, thereby highlighting its potential for thermal energy storage applications.
This study utilizes a 7x7 silicon quantum dot array fabricated via 300 mm CMOS and EUV lithography to demonstrate that a 17 nm gate oxide thickness optimizes uniformity by minimizing threshold voltage variability, thereby providing critical design guidelines for scalable quantum computing architectures.
This paper establishes a novel methodology combining X-ray photon correlation spectroscopy (XPCS) with domain-adaptive machine learning to quantitatively probe non-equilibrium grain boundary dynamics in nanocrystalline silicon, successfully extracting key kinetic parameters from complex experimental fluctuation maps that were previously inaccessible.
This study demonstrates that the magnetic tunability of micrometer-scale FePt-based Janus particles is governed primarily by chemical ordering rather than particle curvature, as evidenced by experiments and simulations showing that coercivity remains constant across varying diameters while being strongly dependent on L1_0 ordering.
This paper introduces a symmetry-based framework using equivariant space groups to construct equivariant magnetic Hamiltonians (EMHs) that explicitly incorporate magnetic order parameters, enabling the study of magnetic-dynamics-driven topological phenomena and the accurate modeling of n-dependent band structures in both model and real materials.
This paper introduces RADAR-PD, a modality-aware machine learning framework that automates multiphase identification and refinement in both X-ray and neutron powder diffraction by combining mismatch-tolerant neural networks with physics-constrained verification to overcome existing bottlenecks in autonomous structural discovery.
This paper demonstrates that controlling the amount and geometry of deposited metal to induce "thermal crowding" allows for the precise manipulation of laser-induced fluid instabilities and pattern formation in nanoscale metal films through self-consistent modeling and time-dependent simulations.
This study demonstrates that in the kagome magnet YbFeGe, interactions between Fe and Yb moments induce a spin reorientation at low temperatures that closes the spin anisotropy gap and generates dynamic scalar spin chirality, resulting in an anomalous Hall effect despite the material's collinear antiferromagnetic order.