Understanding Electrochemical Reversibility using Density Functional Theory: Bridging Theoretical Scheme of Squares and Experimental Cyclic Voltammetry
Creators
- 1. Department of chemistry and material science, School of chemical engineering, Aalto University, 02150 Espoo, Finland
Contributors
Contact person:
Project leader:
Project manager:
- 1. Department of chemistry and material science, School of chemical engineering, Aalto University, 02150 Espoo, Finland
Description
# Scheme of Squares
## Overview
The `SchemeOfSquares.tar` archive contains essential data and examples related to our research on redox reactions. The contents are organized into two primary subfolders: `datasets` and `examples`.
## Getting Started
### Extracting the Archive
To extract the contents of the `SchemeOfSquares.tar` file, use the following command in a Linux environment:
```sh
tar -xvf SchemeOfSquares.tar
```
### Directory Structure
After extracting, you will find the following structure:
- **datasets/**
- **ET/**: Contains Gaussian input and output files for electron transfer (ET) redox reactions.
- **PET/**: Contains Gaussian input and output files for proton-coupled electron transfer (PET) redox reactions.
- **examples/**: Includes sample cases discussed in the main paper, along with the corresponding scaling code.
## Details
### Datasets
- **ET Subfolder**: Houses all the data files related to electron transfer reactions. Each file here represents a specific reaction and contains Gaussian input and output data.
- **PET Subfolder**: Contains data files for proton-coupled electron transfer reactions, similarly structured with Gaussian input and output data.
### Examples
- The `examples` folder provides illustrative samples that were elaborated upon in the main research paper. This includes the scaling code necessary for replicating the results.
## References
For a comprehensive understanding of the data and examples provided, please refer to the main paper associated with this repository.
## Contact
For any questions or further information, please contact Amir Mahdian / Arsalan Hahsemi at firstname.lastname@aalto.fi.
Files
Files
(13.3 GB)
Name | Size | Download all |
---|---|---|
md5:c49d548cd430fe651b1e4ec85ee80e6c
|
13.3 GB | Download |
Additional details
Related works
- Is published in
- Publication: 10.1039/D3DD00091E (DOI)
Dates
- Submitted
-
2024-07-13