Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • 2024-04
  • br Acknowledgments This work was

    2018-10-29


    Acknowledgments This work was financially supported by National Basic Research Program of China (No. 2010CB630800) and National Natural Science Foundation of China (No. 51001102). Some of the data analysis was also sponsored by Natural Science Foundation of Guilin University Aerospace of Technology (No. YJ1405) and the Dr. Start-up fund for “Study on improving the microstructure stability of the heat resistant steel by modifying the precipitates” from Guilin University Aerospace of Technology.
    Data, experimental design, materials and methods The data provided here are bright-field micrographs of three sets of micropatterns with a similar microisland density (Fig. 1) and primer sequences of targeted genes for qRT-PCR (Table 1).
    Specifications table Value of the data Data
    Experimental design, materials, and methods
    Value of the data Data, experimental design, materials and methods
    Quantitative evaluation of the solar cell improvement under reverse bias stress We now show how the application of a strong reverse bias during the light soaking dramatically changes the wear out kinetics. Table 1 reports data of the major solar cell parameters/figures of merit as function of the stress time observed by applying a fixed reverse bias of −12V under a light exposure with AM1.5G spectrum at 1.5 equivalent suns [1]. By observing the values, it is evident that the solar cell characteristics under the reverse bias stress are improving as the stress time increases.
    Analysis of the effect of temperature during reverse bias stress As reported in [1], it was observed that the application of a strong reverse bias stress to the a-Si:H solar purchase Triptolide rather than simply slowing down the wear out rate under light soaking [8], indeed improves the solar cell characteristics. We have therefore analyzed the role of the solar cell temperature on the improvement kinetics in reverse bias stresses at −12V under a light exposure of 1.5suns. Fig. 3 shows the effect of the solar cell temperature during the stress. It is evident that the largest solar cell improvement effect is around 40–50°C, which represents in this case the ideal heating treatment. Lower or higher temperatures produce less improvement. This indicates that the temperature represents a further important factor to be considered in the solar cell recovery/improvement mechanism. This circumstance may be due to the fact that either the solar cell improvement is related to a short range atomic species diffusion phenomenon or other mechanisms become important at larger temperatures.
    Reversibility of the solar cell parameter change depending on the stress polarity As observed in the case of p single substrates [1], where the sheet resistance goes up and down following the sign of the applied voltage pulse, also in the case of the complete a-Si:H solar cells we observe reversible changes in the solar cell power conversion efficiency finding monotonic trends in response to forward and reverse bias stress. As example, we report the results of experiments performed with stresses in forward (F) and reverse (R) bias, +0.6V and −2V, respectively. Each voltage stress lasted 4000s and it was performed under a light exposure of 1 equivalent sun. Fig. 4 reports the normalized solar cell power conversion efficiency as a function of time for two different stress sequence conditions, i.e., RFRFRF and the opposite FRFRFR. That is, in one case we start to stress the cell with −12V (noting a considerable increment of efficiency) and in the other we first apply a positive bias of +0.6V (noting a fall in efficiency). As clearly shown in Fig. 4, in both cases we observe a noticeable solar cell efficiency growth.
    Specifications table Value of the data Data, experimental design, materials and methods The data provided here are stress–strain curves for uncoated and coated scaffolds with different concentration of PCL and zein before and after immersion in SBF for 28 days (Fig. 1) and drug release curves of BG scaffolds of uncoated and coated with PCL, PCL/zein and zein TCH-loaded (Fig. 2).