Summit
A Python toolkit for optimizing chemical reactions using machine learning strategies and benchmarks.
What is Summit?
Summit is a Python toolkit for optimizing chemical reactions using machine learning. It applies algorithms to learn which reaction conditions—such as temperature or stoichiometry—are important for maximizing objectives like yield or enantiomeric excess through an iterative cycle. The project addresses the inefficiencies of traditional intuition-based or design-of-experiments methods in the fine chemicals industry.
Chemists, chemical engineers, and researchers in the fine chemicals industry who need to optimize reaction conditions efficiently, as well as developers working on automated discovery and process optimization.
Summit provides specialized optimization strategies and realistic benchmarks tailored for chemical reactions, enabling faster and more data-driven optimization compared to traditional methods. Its open-source nature and focus on machine learning make it a cutting-edge tool for experimental design in chemistry.
Overview
Optimising chemical reactions using machine learning
Use Cases
Best For
- Optimizing multi-objective chemical reactions like yield and enantiomeric excess
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