APA (7th ed.) Citation

Hußner, M., Pacalaj, R. A., Olaf Müller‐Dieckert, G., Liu, C., Zhou, Z., Majeed, N., . . . 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), 1. https://doi.org/10.1002/aenm.202303000

Chicago Style (17th ed.) Citation

Hußner, Markus, et al. "Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem." Advanced Energy Materials 14, no. 3 (2024): 1. https://doi.org/10.1002/aenm.202303000.

MLA (9th ed.) Citation

Hußner, Markus, et al. "Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem." Advanced Energy Materials, vol. 14, no. 3, 2024, p. 1, https://doi.org/10.1002/aenm.202303000.