RMIT Engineers Harness AI To Improve Solar Cell Production Using Perovskite

Solar panel, solar cells, RMIT University
A team of engineers and scientists at RMIT University, Australia have device a method to use AI to improve efficiency of  production of solar cells from the mineral perovskite thereby highly reducing  human labour and human error to optimise the cells. 

Perovskite is a naturally occurring mineral of calcium titanate (CaTiO3). It has many applications which include for the manufacturing of electronics, ceramics, batteries and solar cells. 

Perovskite cells have advantages of being cheaper, more tolerance to internal defect and more efficient than traditional silicon cell. While this is so, it is noted that many of the positive results in making perovskite cells are difficult to reproduced, this lead to the work of the engineers and the scientists at RMIT University. 

The researchers lead by Dr Nastaran Meftahi, have achieved  the development of a method for rapidly and reproducibly making and testing new perovskite solar cells, where each generation learns from and improves upon the previous. 

The work of the team from the Centre of Excellence in Exciton Science based at RMIT, Monash University and Australia’s national science agency CSIRO therefore have removed human error from the processes of rapidly innovating solar cells with AI. 


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