Data for: Probability Langmuir-Hinshelwood based CO2 photoreduction kinetic models

Published: 31 March 2020| Version 1 | DOI: 10.17632/hp7k5zrsng.1
Contributor:
Warren Thompson

Description

1. Standard operating procedure used to collect CO2 photoreduction data. 2. SEM images of coated stainless steel supports. 3. Threshtom.py Python script used for estimating coverage using machine vision. 4. compareIt program files used for extracting GC data and subsequent nonlinear numerical analysis 5. GC_data 6. Readme for understanding data in 'Matlab_kinetic_data.mat' 7. Matlab file of data 'Matlab_kinetic_data.mat' used for fitting the probability LH based kinetic models. 8. Experimental details for the CO2 photoreduction experiments **Please note that 'ImportAgilentFID.m' was written by James Dillon - see https://github.com/chemplexity/chromatography/blob/master/Development/File\%20Conversion/ImportAgilentFID.m

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Categories

Gas Chromatography, Numerical Algorithm, Carbon Dioxide Photoreduction

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