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Computer Programming, System and Service

Development of graphical user interface for design of experiments via Gaussian process regression and its case study

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2300252 | Received 15 Nov 2023, Accepted 22 Dec 2023, Published online: 16 Jan 2024

Figures & data

Figure 1. Architecture of CADS.

Figure 1. Architecture of CADS.

Figure 2. Graphical user interface of Gaussian process regression.

Figure 2. Graphical user interface of Gaussian process regression.

Figure 3. General work from Bayesian optimization in CADs.

Figure 3. General work from Bayesian optimization in CADs.

Figure 4. Case study: methanol synthesis from methane for maximizing selectivity and turnover number (TON). Si/Al ratio and Cu exchange rate are set as descriptor variables.

Figure 4. Case study: methanol synthesis from methane for maximizing selectivity and turnover number (TON). Si/Al ratio and Cu exchange rate are set as descriptor variables.