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Toward machine learning-enhanced high-throughput experimentation for chemistry
1Cell Press, 50 Hampshire St, Cambridge, MA, USA.
Patterns (New York, N.Y.)
|March 22, 2021
Abstract:
High-throughput experimentation in chemistry allows for quick and automated exploration of chemical space to, for example, discover new drugs. Combining machine learning techniques with high-throughput experimentation has the potential to speed up and improve chemical space exploration and optimization.
