Feedstock to Function Documentation

This is the home for all documentation relating to the Feedstock to Function Tool (FTF), a project that harnesses the power of machine learning to predict properties of high-potential molecules derived from biomass and evaluates the cost, benefits, and risk of promising biobased molecules or biofuels to enable faster, less expensive bioprocess optimization and scale-up.

The documentation on this site encompasses the following:

• Methodology: how we generate and validate our computed data sets
• User Reference: Detailed help for using our website and application programming interface (API).

If you notice an error or omission, please post an issue or click a pencil icon (edit) on a page to suggest an edit to us.

Thanks,
Feedstock to Function Project Team