Balancing the Functionality and Biocompatibility of Materials with a Deep-Learning-Based Inverse Design Framework-Reference-Cited by-同舟云学术

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Balancing the Functionality and Biocompatibility of Materials with a Deep-Learning-Based Inverse Design Framework

Published:2024-07-26 Issue: Volume: Page:
ISSN:2833-8278
Container-title:Environment & Health
language:en
Short-container-title:Environ. Health

Author:

Li Xiaofang¹,Chen Hanle¹,Yan Jiachen¹,Liu Guohong²,Li Chengjun¹,Zhou Xiaoxia¹^ORCID,Wang Yan³,Wu Yinbao³^ORCID,Yan Bing¹^ORCID,Yan Xiliang¹³^ORCID

Affiliation:

1. Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China

2. School of Health, Guangzhou Vocational University of Science and Technology, Guangzhou 510555, China

3. College of Animal Science, South China Agricultural University, Guangzhou 510642, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Provincial Pearl River Talents Program

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangzhou

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/envhealth.4c00088

Reference59 articles.

1. Diverse applications of ionic liquids: A comprehensive review

2. Room-Temperature Ionic Liquids: Solvents for Synthesis and Catalysis. 2

3. Ionic Liquids Then and Now: From Solvents to Materials to Active Pharmaceutical Ingredients

4. Ionic Liquids in Selective Oxidation: Catalysts and Solvents

5. Ionic liquids. Green solvents for the future

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