Yinghui Sun

Abstract Non-van der Waals (vdW) two-dimensional (2D) metal oxides provide an opportunity to enrich the current 2D material library and accelerate the adoption of 2D materials into future electronic devices. However, the exploration of 2D non-vdW oxides remains limited, constrained by synthetic challenges and insufficient fundamental understanding. Here, we report a 2D wide-bandgap non-vdW oxide family—A2Mo3O8 (A = Zn, Mn, Co, etc.), known as kamiokite-type oxides.

Abstract Non-van der Waals (vdW) two-dimensional (2D) metal oxides provide an opportunity to enrich the current 2D material library and accelerate the adoption of 2D materials into future electronic devices. However, the exploration of 2D non-vdW oxides remains limited, constrained by synthetic challenges and insufficient fundamental understanding. Here, we report a 2D wide-bandgap non-vdW oxide family—A2Mo3O8 (A = Zn, Mn, Co, etc.), known as kamiokite-type oxides.

Abstract Evaporation-driven power generation harnesses atmospheric thermal energy via streaming potential, but sluggish, non-directional fluid flow causes waste heat dissipation, limiting the power density. Here we demonstrate a machine learning-guided vertical microrod generator (VMG) that generates a directional Laplace pressure gradient for rapid fluid flow, thereby realizing quasi-ballistic ion transport.