Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem
(2023)
Journal Article
Hußner, M., Pacalaj, R. A., Olaf Müller‐Dieckert, G., Liu, C., Zhou, Z., Majeed, N., Greedy, S., Ramirez, I., Li, N., Hosseini, S. M., Uhrich, C., Brabec, C. J., Durrant, J. R., Deibel, C., & MacKenzie, R. C. I. (2024). Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem. Advanced Energy Materials, 14(3), Article 2303000. https://doi.org/10.1002/aenm.202303000
Over the last two decades the organic solar cell community has synthesized tens of thousands of novel polymers and small molecules in the search for an optimum light harvesting material. These materials are often crudely evaluated simply by measuring... Read More about Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem.