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 paper reveals that domain walls in ferroelectric nematic liquid crystals are composed of twin half-integer surface disclinations that partition subdomains of opposite chirality, establishing a hierarchical topological structure that dictates a two-step mechanism for field-driven polarization switching.
This study employs first-principles simulations to quantify the spin and orbital Rashba effects at ferroelectric PtSe/MoSe/LiNbO interfaces, revealing how LiNbO polarization controls THz emission and advancing the understanding of angular momentum-to-charge conversion mechanisms.
This paper introduces a parameter-free "inscribed circle modification" to the solid-angle-based nearest-neighbor (SANN) algorithm, effectively resolving its tendency to overcount neighbors in low-coordination systems while maintaining computational efficiency and robustness across various crystalline and heterogeneous structures.
This study demonstrates that point-like defects significantly stabilize square-triangle quasicrystals in soft-matter systems by generating substantial configurational entropy through their combinatorial mixing, thereby explaining the high defect concentrations observed in these materials.
This paper introduces a pre-registered, physics-based judge that evaluates AI-proposed crystal structures for superconductivity by verifying pairing mechanisms and manufacturability, revealing that current generative models merely rediscover known materials while failing to propose novel, stable candidates with the necessary physical properties.
This paper establishes a geometric Ginzburg-Landau theory demonstrating that quantum geometry is essential for charge density wave formation and commensurability transitions, providing a new criterion that successfully resolves longstanding discrepancies in transition-metal dichalcogenides where traditional kinetic models fail.
This paper proposes a novel route to topological moiré minibands in centrosymmetric bilayers using noncollinear spin-orbit coupling instead of valley degrees of freedom, demonstrating the mechanism in HgI₂ and optimizing it via machine learning to achieve superior PbI₂ systems that support correlated magnetic and topological phases.
The paper introduces SG-SRAN, a symmetry-aware super-resolution network that maps crystal orientations to an invariant latent space to preserve grain boundaries and achieve high-fidelity resolution with minimal parameters, outperforming larger models on diverse crystal benchmarks.
This perspective paper reviews the current experimental techniques for measuring chiral phonons, analyzing their respective advantages and disadvantages to provide a comprehensive guide for future systematic investigations across diverse material systems and applications.
This study establishes the first quantitative grain growth framework for uranium mononitride (UN) by integrating molecular dynamics, phase-field modeling, and uncertainty quantification to determine that intrinsic grain boundary mobility is the dominant factor governing growth kinetics, while pore drag is negligible and grain boundary energy has minimal influence.