Rapid Life-Cycle Impact Screening Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Rapid Life-Cycle Impact Screening Using Artificial Neural Networks

Published:2017-08-30 Issue:18 Volume:51 Page:10777-10785
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Song Runsheng¹,Keller Arturo A.¹^ORCID,Suh Sangwon¹^ORCID

Affiliation:

1. Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106, United States

Funder

U.S. Environmental Protection Agency

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b02862

Reference58 articles.

1. California Department of Toxic Substances Control. AlternativesAnalysis Guide. https://www.dtsc.ca.gov/SCP/AlternativesAnalysisGuidance.cfm(accessed Nov 19, 2015) .

2. Sustainability Metrics: Life Cycle Assessment and Green Design in Polymers

3. Life cycle inherent toxicity: a novel LCA-based algorithm for evaluating chemical synthesis pathways

4. Life cycle assessment and green chemistry: the yin and yang of industrial ecology

5. Chemical Abstracts Service. CAS Assignsthe 100 MillionthCAS Registry Number® to a Substance Designed to Treat Acute MyeloidLeukemia. https://www.cas.org/news/media-releases/100-millionth-substance(accessed Nov 20, 2015) .

Cited by 73 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning algorithm functional on environmental sustainability assessment in turbomachinery sector: Application on centrifugal compressors;Heliyon;2024-07

2. Artificial intelligence in building life cycle assessment;Architectural Science Review;2024-05-14

3. A Framework for Upscaling of Emerging Chemical Processes Based on Thermodynamic Process Modeling and Simulation;ChemEngineering;2024-05-01

4. Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities;Science of The Total Environment;2024-03

5. Enhanced Deep-Learning Model for Carbon Footprints of Chemicals;ACS Sustainable Chemistry & Engineering;2024-02-05