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1 article(s) from Amar, Yehia

Self-optimisation and model-based design of experiments for developing a C–H activation flow process

Alexander Echtermeyer,
Yehia Amar,
Jacek Zakrzewski and
Alexei Lapkin

Beilstein J. Org. Chem. 2017, 13, 150–163, doi:10.3762/bjoc.13.18

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Figure 1: A framework of closed-loop or self-optimisation combining smart DoE algorithms, process analytics, ...

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Scheme 1: Catalytic reaction scheme showing C–H activation of an aliphatic secondary amine 1 to form the azir...

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Scheme 2: A simplified reaction mechanism based on literature [21], showing intermediate B and the side reaction ...

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Figure 2: Schematics of the automated continuous-flow system used for model development and ‘black-box’ seque...

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Figure 3: Results of experiments from the MBDoE in Table 2, conducted for parameter estimation, and their correspond...

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Figure 4: Results of in silico iterations of the multi-objective active learner (MOAL) algorithm [26]. Each itera...

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Figure 5: Results of the optimisation driven by a statistical algorithm and in the absence of a physical proc...

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Published 24 Jan 2017

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