Theoretical Study on the Adsorption of Hexavalent Chromium by Metal-Modified and Nitrogen-Doped Carbon Materials.

Cr(VI) can cause great harm to human beings and the environment and often exists in the form of HCrO̅ in aqueous environments. The adsorption characteristics of HCrO̅ on nitrogen-doped and iron-nickel-modified carbon substrates were systematically investigated using first principles. The properties of electron transfer and orbital hybridization of the substrates and HCrO̅ during the adsorption process were analyzed by electron deformation density and density of states.

Research on Deep Learning Method and Optimization of Vibration Characteristics of Rotating Equipment.

CNN extracts the signal characteristics layer by layer through the local perception of convolution kernel, but the rotation speed and sampling frequency of the vibration signal of rotating equipment are not the same. Extracting different signal features with a fixed convolution kernel will affect the local feature perception and ultimately affect the learning effect and recognition accuracy. In order to solve this problem, the matching between the size of convolution kernel and the signal (rotation speed, sampling frequency) was optimized with the matching relation obtained.