Research Projects
Feedstock to Function tool
Funded by DOE's Bioenergy Technologies Office, this project aims to develop the foundation for an adaptive computational tool that predicts bioproduct and biofuel properties for validation and certification, and determines the cost, benefits, and risk of promising new and uncertified pathways and their blending effects. This ‘Feedstock to Function’ tool will incorporate supervised machine learning to predict desired properties of high-potential biobased molecules early in technology validation and certification process. Coupled with a lightweight technoeconomic and life-cycle assessment model, this tool will enable bioproduct and biofuel developers and researchers to streamline bioproduct and biofuel scale-up, overcome experimentally and kinetically derived property bottlenecks, identify cost and emissions bottlenecks, and potentially de-risk investments needed to scale up fuel production for the technology certification process.
Learn more at: https://feedstock-to-function.lbl.gov/
