Rapid Bayesian optimisation for synthesis of short polymer fiber materials

Li, Cheng, Leal, David Rubin de Celis, Rana, Santu, Gupta, Sunil, Sutti, Alessandra, Greenhill, Stewart, Slezak, Teo, Height, Murray, Venkatesh, Svetha

arXiv.org Machine Learning 

In order to design and operate the process it is important to know which variables have the strongest influence on performance. To estimate this we compared each state with the length and diameter of the resulting fibers, performing second order polynomial fit using samples over all 9 experiments, and noting the value of the resulting correlation coefficients R. The correlations between process parameters and the Length and Diameter is contained in Supplementary Table S.1. The angle and position have very little influence on the characteristics of the produced fibers. Polymer flow has a moderate influence (0.37) on length, but only a weak influence on diameter. Thus the most significant influence on overall performance is solvent speed followed by channel width.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found