An accurate and interpretable deep learning model for environmental properties prediction using hybrid molecular representations-Reference-Cited by-同舟云学术

An accurate and interpretable deep learning model for environmental properties prediction using hybrid molecular representations

Author:

Zhang Jun¹,Wang Qin²,Su Yang³,Jin Saimeng¹,Ren Jingzheng⁴,Eden Mario⁵,Shen Weifeng¹^ORCID

Affiliation:

1. School of Chemistry and Chemical Engineering Chongqing University Chongqing China

2. School of Chemistry and Chemical Engineering Chongqing University of Science and Technology Chongqing China

3. School of Intelligent Technology and Engineering Chongqing University of Science and Technology Chongqing China

4. Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong China

5. Department of Chemical Engineering Auburn University Auburn Alabama USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

Reference61 articles.

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