Carolin M. Sutter‐Fella

Lawrence Berkeley National Laboratory

Papers

3

Total Citations

91

H-Index

3

About

Carolin M. Sutter‐Fella is a leading researcher at the intersection of materials science and artificial intelligence, specializing in the accelerated discovery and optimization of metal halide perovskites for next-generation solar cells. Her major contributions center on developing autonomous, AI-driven robotic platforms—most notably the SPINBOT—that revolutionize how functional thin films are engineered. By integrating machine learning with high-throughput experimentation, her work has enabled the simultaneous optimization of complex, multi-parameter processing spaces, dramatically reducing the time and resources needed to achieve high-performance perovskite devices. Her 2023 paper on the SPINBOT, published in *Advanced Energy Materials*, has already garnered 76 citations, underscoring its impact as a foundational tool in the field. More recently, her 2025 study on AI-driven robots for predicting synthesis-property relationships in humid atmospheres (11 citations) pushes the boundaries of materials acceleration platforms, addressing real-world stability challenges. Sutter‐Fella’s work is not only advancing fundamental understanding but also paving the way for scalable, reliable manufacturing of perovskite solar cells—a critical step toward sustainable energy solutions.

Research Focus

Key Achievements

3
H-Index
3
Papers
91
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells
76 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Lawrence Berkeley National Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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