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Emerging Trends in Multi-Objective Optimization of Organic Synthesis Leveraging High-throughput Tools and Machine Learning Methods

By Pablo Quijano Velasco and others
The discovery of optimal conditions of chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and Design of Experiments where one reaction variable is modified at any one time... Show more
July 4, 2024
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Emerging Trends in Multi-Objective Optimization of Organic Synthesis Leveraging High-throughput Tools and Machine Learning Methods
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