Environmental Systems Engineering for Lignocellulosic Biorefineries Using AI and Genome-Scale Models

Key Points

• The analysis demonstrates improved sustainability outcomes for lignocellulosic biorefineries using AI.
• Key evidence includes enhanced process optimization metrics that drive efficiency in resource use.
• Assessment using genome-scale models allows for detailed exploration of biochemical pathways.
• These findings suggest that environmental systems engineering may enable greater efficiency in bioprocessing.