AI Unlocks Breakthroughs for the Future of Solar Energy

Priyadharshini S October 11, 2025| 1:05 PM Technology

Promising Materials for High-Efficiency Solar Cells

Halide perovskites are emerging as some of the most promising materials for affordable, flexible, and lightweight solar cells and optoelectronic devices, including LED bulbs, thanks to their exceptional ability to absorb and emit light. Despite their potential, these materials are prone to rapid degradation. To harness their full capabilities, researchers need a deeper understanding of both their underlying properties and the mechanisms that drive their breakdown.

Figure 1. AI Paves the Way for Next-Generation Solar Energy Breakthroughs.

Cracking the Code of a Challenging Solar Material

Scientists have long grappled with understanding a crystalline compound called formamidinium lead iodide, known for its exceptional optoelectronic properties. Its widespread use has been limited by instability, though this can be mitigated by combining it with another type of halide perovskite. To optimize such mixtures, researchers need a deeper understanding of both materials and how they interact. Figure 1 shows AI Paves the Way for Next-Generation Solar Energy Breakthroughs.

Solving a Long-Standing Puzzle in Solar Materials

“The low-temperature phase of this material has long been a missing piece of the research puzzle, and we’ve now settled a fundamental question about its structure,” says Chalmers researcher Sangita Dutta.

Machine Learning Powers the Breakthrough

The team specializes in creating highly accurate computational models of materials, allowing them to test behavior under different scenarios that can then be verified experimentally. Modeling halide perovskites, however, is notoriously challenging, requiring powerful supercomputers and extensive simulation times.

“By combining our traditional methods with machine learning, we can now run simulations thousands of times longer than before. Our models can also include millions of atoms instead of just hundreds, bringing them much closer to real-world conditions,” Dutta explains.

Simulations Confirmed in the Lab

Using this approach, the researchers identified the low-temperature structure of formamidinium lead iodide. They also observed that the formamidinium molecules become trapped in a semi-stable state as the material cools. To validate their models, they collaborated with experimentalists at the University of Birmingham, cooling the material to –200°C to ensure their lab results matched the simulations.

“We hope the insights from our simulations will guide future efforts to model and analyze complex halide perovskite materials,” says Erik Fransson of the Department of Physics at Chalmers.

Source: SciTECHDaily

Cite this article:

Priyadharshini S (2025), AI Unlocks Breakthroughs for the Future of Solar Energy, AnaTechMaz, pp.846

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