default author photo

Jing Chen

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

18

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Risk-aware inverse design of char yield and energy quality in solid waste pyrolysis using test-validated machine learning surrogates

Number of pages: 30 Posted: 18 Apr 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences (CAS) - Guangzhou Institute of Energy Conversion, affiliation not provided to SSRN and Chinese Academy of Sciences (CAS) - Guangzhou Institute of Energy Conversion
Downloads 18 (1,481,165)

Abstract:

Loading...

Solid waste pyrolysis, Char yield, Machine learning surrogates, uncertainty quantification, Risk-aware optimization, SHAP interpretability