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Machine learning methods for understanding coal pyrolysis

delete2025-09-27
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PRE
AI
X
Xingxing Ma
田亚峻 (Tian Ya-jun) *
N
Nana Wang
J
Jinghao Zhao
W
Wenying Li *
K
Kechang Xie
DOI:10.1016/j.rser.2025.116288delete
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Abstract

Abstract

En 中文
• The pyrolysis products of coal emerge from the interplay of multiple factors. • Machine learning can predict coal pyrolysis quickly and accurately. • Hybrid machine learning improves generalization ability and interpretability. • The construction of high-throughput platform is the focus of future research.

Journal

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

Organization

T
Taiyuan University of Technology
Scholars:
2.2W
Papers: 1.4W
Citations: 1.8W
C
chinese academy of sciences
Scholars:
56.5W
Papers: 44.9W
Citations: 704