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Week 2

  It's a new week and we've got reaction-related data, a total of 1180 entries, each with about 20 parameters. Through investigation and questioning we learned the direction of optimization, first we need to select a group of plasma combinations that make the conversion of CO2 and CH4 high, and then analyze the effect of other parameters on the reaction in the selected plasma combinations. So as a first step we want to find the plasma combination that we want to study by means of machine learning. At the same time, Zi'ao needs to find relevant literature to support our next choice of which parameters to explore for the effect on the reaction. For the machine learning models, we roughly determined that Qingyue is responsible for the random forest model, Siyuan builds a BP-neural network, and Haoyu prepares an SVM model.
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Week1

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This week we had an initial look at plasma-catalyzed chemistry and divided up the work among each of us, with Zi'ao doing a survey of the chemistry and plasma-related literature and the rest of us considering which machine learning models to use to optimize the reactions.
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