The Feedstock to Function Tool 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.
Search for molecules in our database and explore their experimental and predicted properties.
LaunchAnalyze life-cycle costs and greenhouse gas emissions of bio-produced molecules.
Launch