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 study resolves the long-standing debate over the transport character of antiferromagnetic CrO by demonstrating through first-principles calculations that it is intrinsically an -type material with higher electron mobility than hole mobility, attributing the commonly observed -type behavior to extrinsic defects rather than intrinsic properties.
By combining experimental synthesis, magnetic characterization, and first-principles simulations on Ni-Cr/NiO nanoparticles, this study reveals that nanoscale phase distribution and interfacial topology, rather than mere phase presence, critically govern exchange bias magnitude, sign, and magnetic interactions, establishing a predictive framework for designing advanced nanomagnets.
This study reports the discovery of a spontaneous odd-parity electronic order in lightly doped CdP semiconductors, where weak carrier screening enables interaction-driven symmetry breaking that combines Fermi surface distortion with momentum-dependent bilayer polarization.
This study develops a physics-informed machine learning model using a sparse experimental dataset to identify key electronic and structural descriptors that govern room-temperature ductility in tungsten-based refractory high-entropy alloys, revealing that moderate additions of Ti, Ni, and Co enhance ductility while high Cr content promotes brittleness.
This paper introduces a Bayesian active learning platform using monotonic I-spline regression to efficiently and accurately map self-limiting saturation curves from sparse, noisy data by enforcing physical shape constraints that eliminate unphysical dips and outperform standard Gaussian processes across diverse kinetic regimes.
Using machine-learning potentials in molecular dynamics simulations, this study reveals that sodium ions in silicate melts exhibit a hopping mechanism that decouples their transport from the sluggish silicate matrix, while oxygen atoms display the most pronounced dynamic heterogeneity due to rare, stochastic structural rearrangements.
This paper introduces a confined-space chemical vapor deposition strategy that enables the deterministic, scalable synthesis of high-quality Mo(W)Te2 single crystals, alloys, and seamless lateral/vertical heterostructures with atomically sharp interfaces, overcoming the structural limitations of exfoliated samples to advance quantum and topological device platforms.
This study demonstrates that chemical functionalization of silicon nitride resonators via TMCS silanization, which targets surface hydroxyl groups, significantly enhances mechanical quality factors by up to 50%, thereby identifying surface hydroxyls as a primary source of energy loss in nano-scale devices.
This study combines thermodynamic, muon spin rotation, neutron diffraction, and first-principles calculations to reveal that the nearly perfect triangular-lattice antiferromagnet MnSnBO exhibits long-range magnetic order below 1 K characterized by coexisting static order and persistent spin dynamics, alongside unconventional low-energy excitations.
This paper presents a wide-field nonlinear microscopy technique based on sum-frequency generation that enables the direct, polarization-selective imaging of in-plane vector fields of propagating surface phonon polaritons, overcoming the limitations of traditional near-field methods that primarily detect out-of-plane components.