Papers
15
Total Citations
762
H-Index
11
About
Jens Hauch is a pioneering researcher at the intersection of materials science, photovoltaics, and autonomous experimentation, renowned for his groundbreaking application of high-throughput robotic platforms and machine learning to accelerate the discovery and optimization of next-generation solar cell materials. His work spans perovskite solar cells, organic photovoltaics (OPV), and quantum dot systems, with a particular focus on stability engineering and thin-film processing optimization. Hauch's most celebrated contribution — the discovery of temperature-induced stability reversal in perovskites (174 citations) — fundamentally challenged established assumptions about accelerated ageing protocols, demonstrating that higher-than-operating temperatures can mislead stability assessments. Alongside this, his robotic screening of antisolvents for lead halide perovskites (110 citations) and machine learning-guided OPV optimization (168 citations) have established new paradigms for data-driven materials exploration. His development of autonomous platforms, including SPINBOT and the AMADAP framework, exemplifies his vision for self-driving laboratories that dramatically compress the materials-to-device development timeline. With research outputs accumulating over 700 citations across diverse photovoltaic technologies, Hauch's work has positioned him as a leading architect of the autonomous materials acceleration movement, offering transformative tools for the broader renewable energy research community.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10