SUPERCAPs: A software to assess the impact of physicochemical characteristics of carbon electrodes on the capacitive performance of supercapacitors

# SUPERCAPs A modular and open-source Python code for predicting the capacitance with the input of carbon electrode features for different types of carbon-based electrode materials, electrolytes, and methods of testing. ## Version ### Stable SUPERCAPs version 0.1 (-- Dec 2022) ## Table of contents * [Version](#version) * [Table of contents](#table-of-contents) * [Authors](#authors) * [Description](#description) * [License](#license) * [Citation](#citation) * [Download](#installation) * [Quick Start](#quick-start) * [Usage](#usage) ## Authors - Python coding: Sachit Mishra, Rajat Srivastava, Atta Muhammad - Data collection: Amit Amit - Protocol definition: Eliodoro Chiavazzo, Mattero Fasano, Pietro Asinari ## Description This program was designed for easy predicting the capacitance of supercapacitors with the input of carbon electrode features for different types of carbon-based electrode materials, electrolytes, and methods of testing. ## License [Creative Commons Attribution 4.0] (./LICENSE) Copyright 2022 Sachit Mishra, Rajat Srivastava, Atta Muhammad, Amit Amit, Eliodoro Chiavazzo, Matteo Fasano, Pietro Asinari ## Citation The publication associated with this code is found here: [----] Sachit Mishra, Rajat Srivastava, Atta Muhammad, Amit Amit, Eliodoro Chiavazzo, Matteo Fasano, Pietro Asinari. The impact of physicochemical characteristics of carbon electrodes on the capacitive performance of Supercapacitors: A machine learning approach: Scientific Reports (2023). ## Download To download the latest version Copy&paste the following DOI in your web browser : DOI:10.5281/zenodo.7346943 ## Quick start Download the compressed package of SUPERCAPs: DOI:10.5281/zenodo.7346943 Decompress it: unzip SUPERCAPs.zip Click the decompress folder it: SUPERCAPs Then, without changing the folder, run the application: soft_sup.exe Make sure that all the libraries are in the SUPERCAPs folder, After that, an intuitive graphical user interface should appear. This GUI interface will guide the user through all the inputs needed to predict the capacitance correctly, as shown in the next section. ## Usage To predict the Capacitance of supercapacitors: * First select one of the five Combinations: 1. Total datasets 2. Two electrode testing method 3. Three electrode testing method 4. Two electrode testing method & 6M KOH 5. Three electrode testing method & 6M KOH * Then enter the following features of carbon electrodes materials such as: 1. Specific Surface area 2. Pore Size 3. Pore Volume 4. Defect 5. Nitrogen doping 6. Oxygen doping 7. Potential Window 8. Current density * Finally press the OK button. ``