4797 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 reveals a hidden momentum-space moiré topology on the low-symmetry (103) surface of the Weyl semimetal NdAlSi, where incomplete bulk projection and multi-cell interference governed by a least-common-multiple framework generate closed Fermi-arc loops and modulations, thereby resolving the bulk-boundary correspondence paradox through a new paradigm of surface reconstruction.
Using spin dynamics simulations, this study identifies the three-dimensional competing antiferromagnetic interactions in manganese tungstate (MnWO\textsubscript{4}) as the origin of the unusual half-moon shaped diffuse scattering observed in its paramagnetic regime, thereby extending the understanding of such magnetic frustration signatures to zigzag chain geometries.
This study utilizes first-principles calculations to demonstrate how distinct magnetic and crystal symmetries govern the unconventional spin Hall conductivity in prototypical altermagnets (RuO, CrSb, and MnTe), revealing that symmetry-driven effects and easy-axis orientations enable robust, tunable spin transport in zero-net-moment materials for next-generation spintronic applications.
This study demonstrates that ultrafast laser-induced reflectivity modulations in indium tin oxide can create synthetically moving apertures, enabling the observation of tunable space-time diffraction patterns that mimic super-relativistic Doppler effects and offer a pathway to programmable spatio-temporal light transformations.
By leveraging sharp-edged core-shell Au@Pd nanoparticle morphologies to inhibit dislocation formation via reduced shear stress, this study demonstrates a strategy for preserving surface strain under harsh reaction conditions, resulting in a fourfold increase in catalytic activity for Suzuki-type cross-coupling reactions.
This study overturns the traditional view that enthalpy dominates sintering by demonstrating through advanced in situ characterization and theoretical modeling that configurational entropy can drive the reversible redispersion of supported nanoparticles upon heating, thereby reshaping the fundamental understanding of nanocatalyst stability.
This first-principles study investigates the robust Weyl nodal loop and multiple sets of Weyl points in trigonal -PtBi, revealing that while key topological features near the Fermi energy remain stable, the specific number and location of additional Weyl points depend sensitively on the magnitude of Bi-layer buckling, alongside predictions of new Fermi arc features at higher energies.
This paper reports a scalable, solvent-free mechanochemical strategy that overcomes the chemical inertness of hexagonal boron nitride to create a multifunctional lithium-rich nanostructure (LBNCO) featuring tunable ionic conductivity, electronic insulation, and high thermal stability for advanced solid-state battery applications.
This study demonstrates that machine-learning models using ground-state electron density as input significantly outperform geometry-based models in predicting molecular absorption spectra, achieving a validation correlation of 0.9926 versus 0.9795 and reducing residual decorrelation by approximately 64% for a dataset of 6,874 molecules.
This paper proposes a minimal, field-agnostic variational framework that reformulates diverse plastic instabilities using a damage-like internal variable to explicitly separate stable hardening from unstable softening, thereby enabling the application of regularization tools from ductile fracture mechanics to resolve issues like mesh sensitivity and spurious localization.