2794 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 reports the observation of a phonon thermal Hall effect in crystalline quartz but not in amorphous silica, attributing the phenomenon to the misalignment of energy and entropy currents caused by magnetic-field-induced transverse forces on lattice drift, a mechanism confirmed by the effect's dependence on crystal quality rather than disorder.
This study utilizes advanced first-principles calculations to demonstrate that lead-free cubic BaMA (M = P, As, Sb, Bi; A = Cl, Br, I) antiperovskite derivatives are dynamically stable, direct-gap semiconductors with favorable optoelectronic properties and theoretical efficiencies of 19–32%, positioning them as promising eco-friendly alternatives to lead-based perovskites for next-generation devices.
This paper reports the synthesis of the layered compound CsCrSO, which uniquely exhibits room-temperature d-wave altermagnetism coupled with a Verwey-type metal-to-insulator transition driven by structural distortion and charge ordering, thereby establishing a new platform for spintronic applications.
This study investigates terahertz optical activity in Tm-doped alumoborates, revealing that strong polarization plane rotation near crystal field transitions arises from magnetic and electric dipole contributions to dynamic magnetoelectric susceptibility, with fine spectral structures reflecting local crystal field distortions.
This paper introduces an accelerated materials-design workflow that combines effective-Hamiltonian molecular dynamics with a conditional autoencoder surrogate to rapidly map how specific nanoscale dopant distributions in Ba(Zr,Ti)O influence functional hysteresis loops, thereby enabling the identification of optimal motif families for targeted energy-storage and electromechanical performance.
By combining cluster-correlation expansion theory with experimental validation, this study demonstrates that nitrogen-vacancy center decoherence in diamond under dynamical decoupling exhibits a quadratic scaling with pulse number, thereby confirming the superiority of a quantum bath model over traditional semi-classical theories for accurately predicting noise in high-concentration nitrogen spin baths.
This Perspective explores how quantum geometry, arising from interband mixing and wavefunction momentum-space textures, introduces hidden length and time scales that qualitatively alter material responses and influence many-body ground states, while reviewing recent experimental advances and methods to estimate their significance.
This study demonstrates that high concentrations of intrinsic antisite defects in the topological magnet MnBiTe displace the topological surface states deep into the crystal bulk, thereby suppressing the surface gap and resolving the long-standing discrepancy between experimental observations and theoretical predictions.
This paper introduces MACE-H, a highly efficient and generalizable equivariant graph neural network that combines high-body-order message passing with node-order expansion to accurately predict Kohn-Sham Hamiltonians and electronic properties for diverse materials, including 2D systems and bulk gold, with sub-meV precision.
This paper introduces Point Group Order Parameters (PGOPs) as a new set of metrics to directly quantify local point-group symmetry in complex particle systems, demonstrating their superior utility in detecting crystalline order compared to traditional bond-orientational parameters and providing their implementation in the open-source SPATULA software package.