Scientists in Sweden have made a big innovation in solar energy by using artificial intelligence and computer simulations to study a material called formamidinium lead iodide. This material is a part of the group called halide perovskites, which are considered one of the best options for creating cheaper, lighter, and more efficient solar panels.
A research group at Chalmers University of Technology used a mixture of computer modeling and machine learning to get a clearer idea of how this material works.
They discovered key details about its structure at very low temperatures, something that had puzzled scientists for years. The findings were also tested and confirmed in lab experiments with scientists at the University of Birmingham.
Halide perovskites are interesting because they can absorb and give off light very well, which makes them useful not only for solar panels but also for things like LED lights. The problem is that they break down quickly, which limits how much they can be used.
According to the International Energy Agency, electricity use is expected to rise from 20% of global energy demand today to more than 50% in the next 25 years. This makes it urgent to develop better renewable energy solutions.
Julia Wiktor, the lead researcher at Chalmers, said, “Our findings are essential to engineer and control one of the most promising solar cell materials. It’s exciting that we now have simulation methods that can answer questions that were unresolved just a few years ago.”
The research shows how combining AI with advanced simulations can speed up the discovery of new materials and bring the world closer to next-generation solar power.
Source
https://scitechdaily.com/ai-cracks-the-code-for-the-next-generation-of-solar-power
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