Toward machine learning-enhanced high-throughput experimentation for chemistry
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 optimizat...
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| Format: | Journal article |
| Language: | English |
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Cell Press
2021
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