4239 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 proposes a constraint-aware diffusion model utilizing a primal-dual algorithm to efficiently and accurately generate physically grounded structures for point defects in inorganic solids, overcoming the computational costs of traditional first-principles simulations.
This study demonstrates that while the magnetoresistance of a textured polycrystalline BiMn solid solution differs significantly from a lower-concentration Bi-Mn-Fe sample at low temperatures due to varying amounts of magnetic -BiMn, their behaviors converge near room temperature, with the higher manganese content sample exhibiting substantially lower maximum magnetoresistance values attributed to internal magnetism influencing electrical transport.
This paper develops precise effective operators for monolayer graphene superlattices by combining variational approximation, perturbation theory, and multiscale methods to replace the standard massless Dirac operator with new operators that account for both microscopic and macroscopic periodic potentials.
This paper proposes a physics-informed pretraining strategy that leverages simple physical potentials to enhance the accuracy, robustness, and stability of graph-based machine learned interatomic potentials across diverse material systems and architectures.
This study demonstrates that twisting bilayer antiferromagnets breaks specific symmetries to induce large, tunable nonrelativistic spin splitting and wave-symmetry-dependent spin transport, offering a robust pathway for efficient spintronics without relying on spin-orbit coupling or heavy elements.
This study demonstrates through first-principles calculations and symmetry analysis that twist engineering in metallic bilayer FeCoGaTe breaks PT symmetry to induce a robust, non-relativistic altermagnetic state with significant spin splitting, establishing a versatile platform for next-generation 2D spintronic devices.
This study employs first-principles density functional theory calculations to systematically investigate the thermodynamic stability and atomic-scale bonding configurations of beta-Ga2O3 (100) interfaces on oxidized Si- and C-terminated 3C-SiC (001) substrates, providing a theoretical framework to optimize heteroepitaxial growth for ultra-wide-bandgap power electronics.
This paper numerically investigates strain-induced metal-insulator transitions in flat band line-graph lattices, mapping out a complex phase diagram that reveals magnetically correlated insulators, weak transiently localized insulators, and non-Fermi liquid metallic phases across the Lieb/Kagome interconversion.
This study characterizes the spin dynamics of Cr³⁺ ions in the van der Waals antiferromagnet CuCrP₂S₆, revealing that isotropic exchange interactions govern its quasi-2D magnetic order and multiferroic behavior while persistent correlations above the Néel temperature suggest potential interplay between antiferromagnetic and antiferroelectric orders.
This paper proposes a Bayesian estimation method to optimize the measurement window in synchrotron-radiation-based Mössbauer spectroscopy, demonstrating that this approach improves the precision of center shift measurements by more than three times compared to conventional Lorentzian fitting.