Fast-developing machine learning support complex system research in environmental chemistry
Author:
Affiliation:
1. Department of Environment Science
2. Shaanxi Normal University
3. Xi’an 710062
4. China
5. State Key Laboratory of Pollution Control and Resource Reuse
Abstract
Machine learning will radically accelerate analysis of complex material networks in environmental chemistry.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,General Chemistry,Catalysis
Link
http://pubs.rsc.org/en/content/articlepdf/2020/NJ/C9NJ05717J
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