2757 papers
Explore the fascinating intersection where quantum materials meet the complexity of everyday environments in the Cond-Mat — Mes-Hall section. This field investigates how tiny particles behave when caught between the orderly world of single atoms and the chaotic nature of bulk matter, revealing the hidden rules that govern electricity, magnetism, and heat in novel substances.
Gist.Science brings these cutting-edge discoveries to you directly from arXiv, the leading repository for physics preprints. We process every new submission in this category as soon as it appears, offering both straightforward, plain-language explanations and deep technical summaries to help researchers and curious minds alike grasp the latest breakthroughs without getting lost in dense equations.
Below are the most recent papers in this dynamic area of condensed matter physics, ready for you to explore.
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 demonstrates that InAs/InGaAs/InP quantum dots grown via MOVPE droplet epitaxy exhibit superior spin properties for quantum information applications, including a significantly enhanced longitudinal spin relaxation time of 2.95 μs and reduced g-factor anisotropy compared to traditional strain-driven growth methods.
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.
By systematically measuring localization lengths in broken-symmetry quantum Hall states of graphene, this study reveals significant non-universality and deviations from standard scaling, which are successfully explained by a model involving the co-existence of localized states from two successive sub-Landau levels.
This paper demonstrates that spatially remote, auto-oscillating electron-nuclear spin systems in a semiconductor can achieve non-local synchronization over distances up to 40 μm via electron spin diffusion, thereby establishing mesoscopic phase coherence and enabling stable collective motion in distributed spin networks.
This theoretical study investigates the optical response of 2D semiconductor nanostructures, revealing that while the localized nature of excitons in nanoribbon arrays limits geometric tunability, coating spherical nanoparticles with these materials offers a superior platform for achieving controllable light-matter interactions through hybridization.
This study demonstrates that heat transport in the Hofstadter butterfly, realized in graphene/hexagonal boron nitride moiré superlattices, is universally quantized according to topological invariants across quantum Hall states, Chern insulators, and interaction-driven symmetry-broken phases, thereby confirming the deep connection between thermal transport and topology.
This paper proposes a novel two-dimensional diamond-dodecagon lattice model that hosts robust compact localized states and flat bands, demonstrating how uniform magnetic flux can drive topological phase transitions and tune transport properties, thereby establishing a versatile platform for exploring flat-band physics and magnetic-controlled topology in photonic and ultracold atomic systems.
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.