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Computational method aided biomass and waste utilization

Chair(s)

Yoo, C. G., State University of New York College of Environmen

Co-chair(s)

Kwon, J., Texas A&M University

This session deals with the Applications of Computational Methods in Biomass Utilization, including machine learning, process optimization, computational modeling, techno-economic analysis, and life cycle assessment.

Presentations

8:18 AM
(562b) Computational Study on the Catalytic Reductive Depolymerization Mechanism of a ??O?4 Lignin Dimer Model Compound in Subcritical Methanol
8:36 AM
(562c) Reinforcement Learning Based Control for Biorefining Process Under Uncertainty
8:54 AM
(562d) Application of Discrete-Time Infinite-Dimensional Model for Optimal Control and Estimation of a Continuous Pulp Digester
9:12 AM
(562e) A Multi-Scale Kinetic Modeling and Optimal Control Strategy for an Effective Lignin Fractionation Process
9:30 AM
(562f) COSMO Simulations and Experimental Evaluation for the Solvation of Lignin in Deep Eutectic Solvents
9:48 AM
(562g) Machine Learning-Aided Ionic Liquid Design for PET Degradation
10:06 AM
(562h) Kinetic Modeling and Techno-Economic Analysis of a Sugar Production Process Via Hydrolysis of Lignocellulosic Biomass

Topics 

Biorefineries
Biological Engineering
Bioprocessing

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Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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