1
Return

Advances in machine learning for biomass pyrolysis: Product prediction, process optimization and mechanistic interpretation

delete2026-07-06
delete0
PRE
AI
X
Xinjing Fu
X
Xing Fan
B
Boyu Li
W
Wenhua Zi
DOI:10.1016/j.rser.2026.117239delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• The advances of machine learning in biomass pyrolysis are reviewed. • Machine learning enhanced the prediction of biomass pyrolysis products. • Reviewed the application of optimization algorithms in biomass pyrolysis. • XAI facilitated mechanistic interpretation of biomass pyrolysis. • ML supported sustainability assessment of biomass pyrolysis through LCA/TEA.

Journal

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

Organization

N
nanjing university of science and technology
Scholars:
2.9K
Papers: 982
Citations: 0
Y
Yunnan Normal University
Scholars:
1.1K
Papers: 363
Citations: 3.3K
Cited Papers

Cited Papers

Citing Papers

Citing Papers