4907 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 experimental evidence of a quantum Hall valley nematic phase in Pb1-xSnxSe quantum wells, demonstrating both spontaneous and explicit SU(3) flavor symmetry breaking that offers fundamental insights into many-body physics within an SU(3) system.
This paper introduces VASP Agent, a coding-agent framework that integrates domain skills, deterministic tools, and scientific guardrails to autonomously execute complex, multi-step first-principles VASP calculations with superior parameter accuracy and error recovery compared to existing LLM-based workflows.
This study investigates the high-temperature deformation behavior of a Co-free non-equiatomic CrMnFeNi alloy through combined experimental and computational methods, revealing that the absence of Cobalt enhances high-temperature strength while maintaining a stable FCC phase and balanced stacking fault energies to promote strain hardening and ductility.
This paper proposes that charge disproportionation driven by Hund's physics in the negative charge transfer gap regime of the molecular orbital crystal SrCoO enables the coexistence of metallicity, polarity, and antiferromagnetism, offering a unified framework for understanding polar antiferromagnetic metals in double-layer Ruddlesden-Popper perovskite oxides.
This paper reports the observation of room-temperature antiferromagnetic resonance in bulk tetragonal NaMnAs, identifying a 7 meV magnon mode at zero field and estimating a relatively large single-ion anisotropy of 0.1–0.2 meV for the Mn ions.
This paper introduces two computationally efficient methods, a generalized deformation potential model and a machine-learning interpolation approach, to accurately predict electron-phonon coupling and thermoelectric transport properties in semiconductors using a minimal number of first-principles calculations, with the machine-learning method demonstrating superior accuracy and ease of implementation.
The paper introduces EquiFiLM, a lightweight, E(3)-equivariant extension that enables foundation machine learning force fields to accurately model charge-conditioned potential energy surfaces and driven processes with minimal training data by integrating Feature-wise Linear Modulation blocks.
This study utilizes polarization-resolved Raman spectroscopy and density-functional theory to demonstrate that cobalt intercalation in CoNbSe reconstructs the vibrational spectrum through zone folding without contributing Raman-active modes, while revealing spin-phonon coupling in A modes despite the absence of discontinuities at the altermagnetic transition.
This study employs phase-field modeling to establish a unified scaling framework for pulse-driven accumulative polarization switching in HZO, revealing how the competition between field-driven domain growth and spontaneous relaxation governs distinct kinetic regimes characterized by varying local kinetic exponents.
This study synthesizes and characterizes 32 ultrahigh-entropy compositionally complex ceramics (16–19 components), revealing that they exhibit enhanced pyrochlore ordering despite high lattice distortion and display distinct order-disorder transition behaviors dependent on cation valence ratios.