Optimizing the benefit–risk trade-off in nano-agrochemicals through explainable machine learning: beyond concentration
Hengjie Yu, Shiyu Tang, Eslam M. Hamed, Sam Fong Yau Li, Yaochu Jin, Fang Cheng · Environmental Science Nano · 2024
An explainable ML-driven MOO approach is proposed for the benefit–risk trade-off of nano-agrochemicals. Results highlight the importance of considering the well-known concentration-dependent effect in conjunction with other key factors.