Leveraging Machine Learning To Predict the Atmospheric Lifetime and the Global Warming Potential of SF6 Replacement Gases
Author:
Affiliation:
1. School of Chemical Engineering, Pusan National University, Busan 46241, South Korea
Funder
KEPCO Research Institute
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.3c07339
Reference20 articles.
1. Global warming potentials and radiative efficiencies of halocarbons and related compounds: A comprehensive review
2. Updated Global Warming Potentials and Radiative Efficiencies of Halocarbons and Other Weak Atmospheric Absorbers
3. History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)
4. The increasing atmospheric burden of the greenhouse gas sulfur hexafluoride (SF<sub>6</sub>)
5. Assessment of Eco-friendly Gases for Electrical Insulation to Replace the Most Potent Industrial Greenhouse Gas SF6
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