Xinhe Wang

TL;DR: In this paper, the interlayer exchange coupling effect in a synthetic magnetic multilayer system [Pt/Co]2/VO2/[Co/Pt]2, where atomically thin phase-change material VO2 is adopted as a spinterface with reversible metal-to-insulator transition was studied.

TL;DR: In this article, the phase change material VO2 was used as a spacer layer to regulate the interlayer exchange coupling between ferromagnetic layers with perpendicular magnetic anisotropy.

TL;DR: This strongly coupled nanotube electromechanical resonator array provides an experimental platform for future studies of the coherent electron-phonon interaction, the phonon-mediated long-distance electron interaction, and entanglement state generation.

TL;DR: In this paper, a machine-learning optical identification (MOI) method was proposed to identify 2D nanostructures in the optical image using optical microscopy, which enabled accurate, intelligent, and large-area characterizations of graphene, molybdenum disulfide, and their heterostructure.

TL;DR: In this article, a machine-learning optical identification method (MOI method) is proposed for optical microscopy with intelligent insight into the characteristic colour information in the optical photograph. And the results indicate that the MOI method enables accurate, intelligent and large-area characterizations of graphene, molybdenum disulphide (MoS2) and their heterostructures, including identifications of the thickness, the existence of impurities, and even the stacking order.