Artificial Intelligence in Biomass Conversion and Utilization
Jiahua Zhu(Editor)
Wiley-VCH (Publisher)
1st Edition
Will be published approx. on 16. September 2026
Book
Hardback
304 pages
978-3-527-35554-9 (ISBN)
Description
The book provides a comprehensive overview of artificial intelligence (AI) applications in different stages of biomass conversion, from fundamental research to practical applications. It explores the role of AI in biomass conversion to create low-carbon materials, fuels, and chemicals. It addresses key research challenges like inadequate thermodynamic databases, unreliable models, and inefficient multi-objective optimization. It helps readers gain a comprehensive understanding of how AI can revolutionize biomass conversion, leading to more sustainable and efficient processes.
More details
Edition
1. Auflage
Language
English
Place of publication
Berlin
Germany
Target group
Professional and scholarly
Dimensions
Height: 244 mm
Width: 170 mm
ISBN-13
978-3-527-35554-9 (9783527355549)
Schweitzer Classification
Person
Jiahua Zhu is a Professor and Vice Dean of Chemical Engineering at Nanjing Tech University, China. Dr. Zhu received his Ph.D. degree of Chemical Engineering from Lamar University in 2013. He joined the Department of Chemical & Biomolecular Engineering at the University of Akron in 2013 as an Assistant Professor and he was early promoted to tenured Associate Professor in 2018. He has authored more than 200 peer-reviewed journal articles and 4 book chapters. He has received Young Leader Development Award from Functional Material Division of The Minerals, Metals & Materials Society (2015), Early Career Award from Polymer Processing Society (2017) and Early Career Investigator Award from ECS Electrodeposition Division (2017).
Content
INTRODUCTION
AI INTEGRATION IN BIOMASS CONVERSION
INTELLIGENT ANALYSIS OF BIOMASS PROPERTIES: FROM TRADITIONAL MODELS TO DATA-DRIVEN NEW PARADIGM
MECHANISM-GUIDED AI MODELING
MULTI-OBJECTIVE OPTIMIZATION IN COMPLEX BIOMASS CONVERSION PROCESSES
AI-ASSISTED POST-PROCESSING FOR BIOMASS PRODUCT VALORIZATION
SUMMARY AND OUTLOOK
AI INTEGRATION IN BIOMASS CONVERSION
INTELLIGENT ANALYSIS OF BIOMASS PROPERTIES: FROM TRADITIONAL MODELS TO DATA-DRIVEN NEW PARADIGM
MECHANISM-GUIDED AI MODELING
MULTI-OBJECTIVE OPTIMIZATION IN COMPLEX BIOMASS CONVERSION PROCESSES
AI-ASSISTED POST-PROCESSING FOR BIOMASS PRODUCT VALORIZATION
SUMMARY AND OUTLOOK