Computational Modeling: Theoretical Predictive Tools for Designing of Potential Organic Corrosion Inhibitors
Abstract
Computational modelings have immersed as powerful tools for designing of efficient corrosion inhibitors for several metals in many electrolytes. One of the greatest advantages of the modeling techniques is that effectiveness of compounds to be used as inhibitors towards metallic corrosion inhibition can be theoretically derived before their chemical synthesis. Quantum chemical calculations using density functional theory (DFT) gives informations...
Paper Details
Title
Computational Modeling: Theoretical Predictive Tools for Designing of Potential Organic Corrosion Inhibitors
Published Date
Jul 1, 2021
Volume
1236
Pages
130294 - 130294
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History