Introduction- For researchers it is really painstaking and slow to search better, more efficient materials for upcoming generation. They need to generate lab samples composed of various layers of dissimilar materials bonded together for considerable testing. A team from a university and other institutions has worked together to elude such expensive and time taking fabrication permitting for a swift screening of far more variations than would be typical through the traditional approach.
Process- Researchers has explained this new process to not only increase up the quest for new construction but also do more accurate job of forecast their performance. A traditional process is often needed to create a specialized sample but with the difference from actual cell and may not be fully representative of real solar cells performance as said by researchers. In order to properly categorize the materials one can follow two methods of testing for example typical testing methods that demonstrated behaviour of predominant particles or vacancies whose movement generates an electric current through a material but in case of photovoltaic materials, minority carriers that are far less in abundance a limiting factor for devices overall efficiency.
The new processes are termed as slow because it takes long time to troubleshoot early-stage prototype devices, performing of characterization takes time from weeks to months with less chance of getting measurement may not be necessary sensitivity to determine the root reason of any problems. This problem of longer time taken has been accomplished by the researchers with the development of a new type of tool that can give results more accurate, rapid assessments of suggested materials using a series of comparatively simple lab test combined with computer modelling of physical properties of the matter.
Experiments- After the researchers have acquired many current voltage calculations at multiple temperatures and illumination intensities, they required to figure out what combinations of materials and interface variables make the best fit with their set of calculations. These all parameters represent a probability of distribution permitted them to account for experimental uncertainties which are updated on the bases of new measurements, refining and homing in ever closer to the precise answer.
Further the basic methodology that could be applied to wide variety of dissimilar materials evaluations not just solar cells. In fact it may register to any system that includes a computer model for the output. The vision of the researchers is to link up this swift characterization process with swifter materials and device synthesis that have developed by researchers.
