High-efficiency liquid luminescent solar concentrator based on CsPbBr quantum dots.

The performance degradation is still a challenge for the development of conventional polymer luminescent solar concentrator (LSC). Liquid LSC (L-LSC) may be an alternative due to polymerization-free fabrication. Here, we have prepared a CsPbBr quantum dots (QDs)-based L-LSC by injecting the QDs solution into a self-assembly quartz glass mold.

Preparation and Characterization of Electrospun PAN-CuCl Composite Nanofiber Membranes with a Special Net Structure for High-Performance Air Filters.

The growing issue of particulate matter (PM) air pollution has given rise to extensive research into the development of high-performance air filters recently. As the core of air filters, various types of electrospun nanofiber membranes have been fabricated and developed. With the novel poly(acrylonitrile) (PAN)-CuCl composite nanofiber membranes as the filter membranes, we demonstrate the high PM removal efficiency exceeding 99% and can last a long service time.

Modeling and comparison of bulk and thin-film luminescent solar concentrators based on colloidal perovskite quantum dots.

Photovoltaic integrated luminescent solar concentrators (LSCs) can be embedded in modern buildings to serve as power-generation units. In this Letter, we demonstrate and develop a Monte Carlo ray-tracing model and a numerical description for the performance and loss evaluation of LSCs based on colloidal quantum dots. The performance differences between bulk and thin-film LSCs are systematically analyzed at different sizes and concentrations.

Electrospun PAN-HNTs composite nanofiber membranes for efficient electrostatic capture of particulate matters.

The fine particulate matter (PM) pollution has become a serious concern to public health. As the core part of PM air filters, high-performance electrostatic nanofiber membranes are urgently needed. However, the existing air filters remain challenging to further decrease the pressure drop to improve the wearer comfort.