Predicting Free Energies of Exfoliation and Solvation for Graphitic Carbon Nitrides Using Machine Learning
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
Funder
Canada Research Chairs
Natural Sciences and Engineering Research Council of Canada
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.3c09347
Reference76 articles.
1. 2D Graphitic Carbon Nitride for Energy Conversion and Storage
2. A critical review on graphitic carbon nitride (g-C3N4)-based composites for environmental remediation
3. Water desalination across multilayer graphitic carbon nitride membrane: Insights from non-equilibrium molecular dynamics simulations
4. A Comprehensive Review of Graphitic Carbon Nitride (g-C3N4)–Metal Oxide-Based Nanocomposites: Potential for Photocatalysis and Sensing
5. Graphitic Carbon Nitride Materials: Sensing, Imaging and Therapy
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