2737 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 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.
This paper demonstrates that a short time-to-solution Quantum Monte Carlo methodology, utilizing an embedded active site approach on a Pt(111) surface, accurately calculates CO hydrolysis activation barriers for hydrogen synthesis with a precision of approximately 1 kJ/mol, closely matching high-level configuration interaction benchmarks.
This paper demonstrates that twisted trilayer hexagonal boron nitride exhibits unique super Moiré domain tessellations and sliding ferroelectricity, enabling electric-field reconfigurable arrays of localized quantum dots that facilitate tunable long-range quantum state transfer for quantum technologies.
This paper demonstrates that cooling single-crystal yttrium iron garnet spheres to 30 mK enables short-wavelength magnons to achieve lifetimes exceeding 18 μs, overturning previous limits and establishing them as viable, long-lived carriers for solid-state quantum information technologies.
This study reveals that hydrostatic pressure exerts opposite effects on the magnetic phases of NiBr2 compared to NiI2, where pressure suppresses the helimagnetic order while steeply enhancing the collinear antiferromagnetic order due to the dominant role of interlayer exchange interactions.
Neutron scattering experiments on the van der Waals antiferromagnet FePSe under uniaxial strain reveal that tensile strain induces a transition to symmetry in both magnetic order and spin excitations, providing direct evidence that the observed three-state Potts nematicity in the paramagnetic phase arises from vestigial order associated with the low-temperature zigzag antiferromagnetic state.
This paper introduces a modified reliability factor, , to replace Pendry's in quantitative low-energy electron diffraction, addressing its sensitivity to noise and intensity offsets while demonstrating superior or comparable performance in optimizing surface structure determination.