Scientists develop new method to create stable, efficient next-gen solar cells

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Scientists develop new method to create stable, efficient next-gen solar cells
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Next-generation solar materials are cheaper and more sustainable to produce than traditional silicon solar cells, but hurdles remain in making the devices durable enough to withstand real-world conditions.

A new technique could simplify the development of efficient and stable perovskite solar cells, named for their unique crystalline structure that excels at absorbing visible light. A new technique developed by a team of international scientists could simplify the development of efficient and stable perovskite solar cells, named for their unique crystalline structure that excels at absorbing visible light.

The scientists combined the two photoactive polymorphs of cesium lead iodide to form a phase-heterojunction -- which can suppress the transformation to the undesirable phase, the scientists said. Heterojunctions are formed by stacking different semiconductor materials, like layers in a solar cell, with dissimilar optoelectronic properties. These junctions in solar devices can be tailored to help absorb more energy from the sun and convert it into electricity more efficiently.

Dzade modeled the structure and electronic properties of the heterojunction at the atomic scale and found that bringing the two photoactive phases together created a stable and coherent interface structure, which promotes efficient charge separation and transfer -- desirable properties for achieving high efficiency solar devices.

The researchers said the dual deposition technique could pave the way for the development of additional solar cells based on all inorganic perovskites or other halide perovskite compositions. In addition to extending the technique to different compositions, future work will involve making the current phase-heterojunction cells more durable in real-world conditions and scaling them to the size of traditional solar panels, the researchers said.

The National Research Foundation of Korea supported this work. Computer simulations were performed on the Roar Supercomputer in the Institute for Computational and Data Sciences at Penn State.

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