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Multi-Junction Discovery
Über
- Our group, the Multi-junction Discovery Group, focuses on establishing a data-driven, high-throughput paradigm for next-generation photovoltaic research and development. We aim to overcome the Shockley-Queisser limit and accelerate the discovery of high-performance solar cells by moving beyond traditional trial-and-error approaches.
- Leveraging automated spin-coating, blade-coating, evaporation, and characterization platforms, we enable large‑scale, highly reproducible fabrication and measurement of novel photovoltaic devices, including organic photovoltaics (OPV), perovskite solar cells, and perovskite-based tandem devices. By integrating machine learning with high-throughput experimentation, we systematically investigate the complex relationships between processing conditions, material properties, and device performance, with the long-term goal of developing reliable, efficient, and industrially viable photovoltaic technologies.
Forschungsthemen
- Autonomous Robotic Processing Automated fabrication and high-throughput characterization of OPV, perovskite, and perovskite-based tandem solar cells
- AI-Driven Material Discovery Machine learning-guided material screening, multi-objective process optimization, and predictive performance modeling
- Accelerated Aging & Lifetime Prediction High-throughput indoor aging, stability assessment, and degradation modeling
- Analysis & Device Physics Building Process–Property–Performance relationships to bridge the gap between microscopic material properties and macroscopic device performance.
Teammitglieder
Forschungseinrichtungen / Anlagen
Publikationen
Referenzen
Letzte Änderung: 18.03.2026