Abstract
A ligand library containing 31 chiral diamines was synthesized using a flow-based semiautomatic reductive amination system. These ligands were evaluated in a continuous-flow asymmetric 1,4-addition reaction with a heterogeneous Ni catalyst. Based on the experimental results of ab initio DFT calculations, a prediction model for enantioselectivities was successfully constructed. Furthermore, virtual screening of possible ligands was conducted to identify promising structures, which showed good enantioselectivities in experiments.
| Original language | English |
|---|---|
| Pages (from-to) | 4204-4208 |
| Number of pages | 5 |
| Journal | Advanced Synthesis and Catalysis |
| Volume | 363 |
| Issue number | 17 |
| DOIs | |
| Publication status | Published - 7 Sept 2021 |
| Externally published | Yes |
Keywords
- automatic synthesis
- flow chemistry
- heterogeneous catalysis
- machine learning
- virtual screening
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