Optimum catalyst selection over continuous and discrete process variables with a single droplet microfluidic reaction platform
A mixed-integer nonlinear program (MINLP) algorithm to optimize catalyst turnover number (TON) and product yield by simultaneously modulating discrete variables - catalyst types - and continuous variables - temperature, residence time, and catalyst loading - was implemented and validated. Several si...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Royal Society of Chemistry (RSC)
2018
|
| Online Access: | http://hdl.handle.net/1721.1/119664 https://orcid.org/0000-0002-6745-765X https://orcid.org/0000-0002-8271-8723 https://orcid.org/0000-0001-7192-580X |