|Table of Contents|
Determine the energy needed to dissociate CO2 by investigating the relevant parameters and determining their working ranges: pressure, temperature, wavelength, molecular resonance state and include quantum chemical energy calculations.
Current Google Sheet cataloguing relevant parameters that are correlated with dissociation or near dissociation of CO2.
|Google drive sheets|
The current focus is to manually conduct an indepth field review and correlate the dissociation parameters, and conditions to assembly a clustering of all similar parameters and conditions to all known routes to solid carbon.
The initial project scope to use machine learning was deemed unnecessarily difficult given the limited amount of unstructured and noisy training data.