arrow
Return

Machine learning accelerated data generation, process modelling and system optimization for biomass conversion and valorization

delete2025-11-03
delete0
PRE
AI
P
Peng Jiang
C
Chenhan Wang
W
Wenjie She
W
Wenkai Ye
Y
Yinchen Li
T
Tuo Ji
L
Liwen Mu
X
Xiaohua Lu
朱
朱家华 (Jiahua Zhu) *
DOI:10.1016/j.rser.2025.116439delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Recent advances in biomass valorization technologies are reviewed. • Machine learning accelerates the generation of physicochemical property data. • Machine learning facilitates process modeling in biomass valorization. • Machine learning enables multi-objective optimization in biomass conversion. • Knowledge-guided machine learning allows faster and more accurate predictions.

Journal

Renewable and Sustainable Energy Reviews cover
Renewable and Sustainable Energy Reviews
IF:
16.3
Papers:
1.6W
Citations:
18.5W

Organization

No organization information available
Cited Papers

Cited Papers

No cited papers available