Citation:
Gupta, N. K., Guo, Y., Chang, S. Y., Lin, J., Khoo, Z. H. J., I. Made, R., Ooi, Z. E., Lim, C. Y. J., Lee, C. H., Sivapaalan, M., Lim, Y.-F., Khoo, E., Feng, L. W., Lum, Y., & Handoko, A. D. (2024). Towards a greener electrosynthesis: pairing machine learning and 3D printing for rapid optimisation of anodic trifluoromethylation. RSC Sustainability, 2(2), 536–545. https://doi.org/10.1039/d3su00433c