2023
DOI: 10.1039/d3gc01144e
|View full text |Cite
|
Sign up to set email alerts
|

Investigating the electrocatalytic reduction of 2,4,6-tri-nitro-toluene (TNT) using density functional theory methods

Abstract: 2,4,6-trinitrotoluene (TNT) degradation is of interest in environmental remediation, demilitarization, and national security. Electrochemical TNT reduction to 2,4,6-triaminotoluene is potentially energy efficient and operable at ambient conditions. Determining an elementary...

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 88 publications
0
1
0
Order By: Relevance
“…Density functional theory (DFT) modeling has been very useful in determining electrocatalytic reaction mechanisms and guiding the design of electrocatalytic materials. However, major challenges exist in modeling the complex potential-dependent interplay between solvent, ions, and adsorbates at the electrode–electrolyte interface, which hinders progress in making accurate predictions of electrokinetics. Changes in the composition and structure of the electrode–electrolyte interface, the electrochemical double layer (EDL), impact electrocatalytic activity and selectivity. Despite advances in modeling the electrocatalytic interface, uncertainties in the solvent properties and ion distributions within the EDL pose challenges in modeling EDL effects. Representing the EDL within a DFT model inherently requires approximations because DFT cannot sample the dynamic ensemble of atomistic structures at the interface. , Thus, different mechanistic predictions can be reached depending on the DFT and EDL model approximations chosen.…”
Section: Introductionmentioning
confidence: 99%
“…Density functional theory (DFT) modeling has been very useful in determining electrocatalytic reaction mechanisms and guiding the design of electrocatalytic materials. However, major challenges exist in modeling the complex potential-dependent interplay between solvent, ions, and adsorbates at the electrode–electrolyte interface, which hinders progress in making accurate predictions of electrokinetics. Changes in the composition and structure of the electrode–electrolyte interface, the electrochemical double layer (EDL), impact electrocatalytic activity and selectivity. Despite advances in modeling the electrocatalytic interface, uncertainties in the solvent properties and ion distributions within the EDL pose challenges in modeling EDL effects. Representing the EDL within a DFT model inherently requires approximations because DFT cannot sample the dynamic ensemble of atomistic structures at the interface. , Thus, different mechanistic predictions can be reached depending on the DFT and EDL model approximations chosen.…”
Section: Introductionmentioning
confidence: 99%