What innovative technique did POSTECH researchers use to improve perovskite solar cells?

Researchers at POSTECH in South Korea used artificial intelligence (AI) to optimize the manufacturing process for perovskite solar cells, leading to significant cost and environmental benefits.

How does the new POSTECH method impact the commercialization of perovskite solar cells?

The POSTECH team's AI-driven manufacturing process, which uses eco-friendly solvents, has more than halved the production costs and reduced the environmental impact by over 80%, making perovskite solar cells much more viable for commercial adoption.

What are the key advantages of perovskite solar cells compared to traditional silicon photovoltaics?

Perovskite solar cells offer exceptional efficiency and performance, as well as being lightweight and ultrathin, making them a highly promising "next-generation" solar technology.

Home / Technology / AI Breakthrough Unlocks Affordable, Eco-Friendly Perovskite Solar Cells

AI Breakthrough Unlocks Affordable, Eco-Friendly Perovskite Solar Cells

20 Oct

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Summary

Researchers use AI to optimize perovskite solar cell production
New method uses bio-based solvents, reducing costs by over 50% and environmental impact by 80%
Perovskite cells offer exceptional efficiency compared to traditional silicon photovoltaics

AI Breakthrough Unlocks Affordable, Eco-Friendly Perovskite Solar Cells

In October 2025, researchers at the Pohang University of Science and Technology (POSTECH) in South Korea have made a significant breakthrough in the commercialization of perovskite solar cells. Perovskite cells, often referred to as "next-generation" solar technology, are known for their exceptional performance and lightweight, ultrathin qualities. However, their commercial potential has been hindered by the use of toxic materials like lead and dimethylformamide during production.

The POSTECH team has now developed an innovative manufacturing process that utilizes reverse engineering techniques based on artificial intelligence (AI) to optimize the conditions for perovskite cell production. The new method replaces the hazardous solvents with bio-based alternatives like gamma-valerolactone (GVL) and ethyl acetate (EA), which are much safer to use.