@misc{78138badbfe54aa791808692f8a312e9,
title = "Inverse Bioproduct Design Through Machine Learning and Molecular Simulation",
abstract = "This work aims to identify performance advantaged bioproducts (PABPs) through computational property prediction. A major goal of this project is to guide targeted synthesis of polymers and small molecule materials to those that have the highest likelihood of performance advantages.",
keywords = "BETO, machine learning, PABP, peer review, polymers, simulation",
author = "Brandon Knott",
year = "2023",
language = "American English",
series = "Presented at the 2023 U.S. Department of Energy's Bioenergy Technologies Office (BETO) Project Peer Review, 3-7 April 2023, Denver, Colorado",
type = "Other",
}