Publications by authors named "Pengpeng Qiang"
Article Synopsis
- - A new type of nanowire array made of CoNiP combines both amorphous and crystalline structures, with about 14.5% of it being amorphous, creating unique interfaces that may enhance performance.
- - The (a-c)CoNiP catalyst shows impressively low overpotentials (38 mV in acid and 64 mV in alkaline) for hydrogen evolution, comparable to the commercial Pt/C catalyst, which requires 35 mV and 55 mV respectively.
- - The catalyst's amorphous interface provides better corrosion resistance and performance at high current densities than the Pt/C catalyst in both acidic and alkaline environments, indicating its potential for use in commercial hydrogen production.
Ultranarrow Deep-Blue Luminescence of Perovskite Nanocrystals by A-Site Cation Control.
ACS Appl Mater Interfaces
June 2024
Metal-halide perovskite nanocrystals (NCs) are one of the most promising emitters for the application of display and nanolight sources. The full width at half-maximum (FWHM) of photoluminescence (PL) emission is essential for color purity, which however remains a difficulty to further reduce the FWHM of the perovskite NCs at room temperature. Here, we show the quasi-sphere perovskite NCs with narrow PL emission at a deep-blue wavelength of ∼430 nm; its PL FWHM reaches ∼11 nm at room temperature, owing to the monodispersion in size distribution as well as the symmetric quasi-sphere morphology of NCs releasing the fine structure splitting-induced inhomogeneous broadening.
View Article and Find Full Text PDFAutomatic detection of small bowel lesions with different bleeding risks based on deep learning models.
World J Gastroenterol
January 2024
Background: Deep learning provides an efficient automatic image recognition method for small bowel (SB) capsule endoscopy (CE) that can assist physicians in diagnosis. However, the existing deep learning models present some unresolved challenges.
Aim: To propose a novel and effective classification and detection model to automatically identify various SB lesions and their bleeding risks, and label the lesions accurately so as to enhance the diagnostic efficiency of physicians and the ability to identify high-risk bleeding groups.