A Doppler broadening thermometry (DBT) instrument is built based on cavity ring-down spectroscopy (CRDS) for the precise determination of the Boltzmann constant. Compared with conventional direct absorption methods, the high-sensitivity of CRDS allows one to reach a satisfactory precision at lower sample pressures, which reduces the influence due to collisions. By recording the spectrum of C 2 H 2 at 787 nm, we demonstrate a statistical uncertainty of 6 ppm (part per million) in the determined linewidth values by several hours' measurement at a sample pressure of 1.5 Pa. As for the spectroscopy-determined temperatures, although with a reproducibility better than 10 ppm, we found a systematic deviation of about 800 ppm, which is attributed to 'hidden' weak lines overlapped with the selected transition at 787 nm. Our analysis indicates that it is feasible to pursue a DBT measurement toward the 1 ppm precision using cavity ring-down spectroscopy of a CO line at 1.57 μm.
We reported an experimental fabrication of double-gated (DG) thin-film transistor (TFT) with IGZO recess-channel using a designer photoresist-based thin-film profile engineering approach. In this approach, an organic shadow mask of photoresist (PR) was formed over a p+-Si wafer that was encapsulated by an oxide layer. The lithographically-patterned PR layer is an effective mask for shadowing reactive species during the subsequent deposition steps of IGZO and Aluminum, enabling the formation of IGZO recess-channel and discrete Al source/drain pads at room-temperature. The top-gate or DG configurations with the Si substrate serving as the bottom-gate were investigated. The fabricated DG TFTs show significant improvements in both ION and IOFF as compared with single-gated TFTs. The proposed process scheme is readily applicable to the back-end-of-line of a chip. This work demonstrates the feasibility of IGZO recess-channel TFTs in various gated configurations, enabling a building block for emerging functional devices for More-than-Moore applications.
Sulfate radicals have been increasingly used for the pathogen inactivation due to their strong redox ability and high selectivity for electron-rich species in the last decade. The application of sulfate radicals in water disinfection has become a very promising technology. However, there is currently a lack of reviews of sulfate radicals inactivated pathogenic microorganisms. At the same time, less attention has been paid to disinfection by-products produced by the use of sulfate radicals to inactivate microorganisms. This paper begins with a brief overview of sulfate radicals’ properties. Then, the progress in water disinfection by sulfate radicals is summarized. The mechanism and inactivation kinetics of inactivating microorganisms are briefly described. After that, the disinfection by-products produced by reactions of sulfate radicals with chlorine, bromine, iodide ions and organic halogens in water are also discussed. In response to these possible challenges, this article concludes with some specific solutions and future research directions.
The development of DC distribution network technology has provided a more efficient way for renewable energy accommodation and flexible power supply. A two-stage stochastic scheduling model for the hybrid AC/DC distribution network is proposed to study the active-reactive power coordinated optimal dispatch. In this framework, the wind power scenario set is utilized to deal with its uncertainty in real time, which is integrated into the decision-making process at the first stage. The charging/discharging power of ESSs and the transferred active/reactive power by VSCs can be adjusted when wind power uncertainty is observed at the second stage. Moreover, the proposed model is transformed into a mixed integer second-order cone programming optimization problem by linearization and second-order cone relaxation techniques to solve. Finally, case studies are implemented on the modified IEEE 33-node AC/DC distribution system and the simulation results demonstrate the effectiveness of the proposed stochastic scheduling model and solving method.
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