Maciej Adam Surmiak
Papers
2
Total Citations
46
H-Index
2
About
Maciej Adam Surmiak is a rising leader in the intersection of renewable energy and artificial intelligence, with his primary research focus on the high-throughput fabrication and optimization of perovskite solar cells. His most impactful work, published in *Advanced Energy Materials* in 2023, has already garnered 43 citations, demonstrating significant early influence in the field. Surmiak’s major contribution lies in pioneering a methodology that combines machine learning with automated experimentation to navigate the vast compositional space of quasi-2D Ruddlesden–Popper perovskites—a promising class of materials known for their improved stability over conventional 3D perovskites. By training algorithms on experimental data, his approach dramatically accelerates the discovery of optimal material formulations, addressing the critical stability bottleneck that has hindered commercial perovskite solar panels. This work, featured on the journal cover, showcases his ability to bridge computational prediction with real-world fabrication. Surmiak’s research is pivotal for students and researchers seeking to understand how data-driven techniques can revolutionize materials science, offering a scalable pathway to cheaper, more durable next-generation solar technologies.
Research Focus
Key Achievements
Top Papers
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