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Zhong-Qi HE

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

19

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

The Combination of Numeric and Nonnumeric Information of Surface Properties and Environmental Pressures to Predict Adsorption Amount, Capacity and Kinetics of Tetracyclines by Biochar Via Machine Learning

Number of pages: 31 Posted: 17 Apr 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Abstract:

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tetracyclines, adsorption performance prediction, machine learning, simplified model, numeric/nonnumeric information input