Monash Echem AI

As part of the Artifical intellegence stratergy being pioniered by the Monash elctrochemitry group, we are developing a Database for the storage and retrieval of experimental DC and FTACV data. This data will be used to train and validate the AI models that are being developed by our research group and hopefully will be made open source in future. The files that are uploaded are in .txt format and generally in a format that has been stablised. Finally, the other option is to batch run our reserch groups AI models on the database and the results will be emailed to you (This is yet to be set up). Additionally, you need a password to submit data to the database, if you would like this email our group.

DATA SUBMISSION

Mechanistic Information

Reaction Mechanism

Diffusion Coefficient (cm^2/s):

Concentration (mM):

Resistance (Ohms):

Temprature (C):

Electrode surface area (cm^2):

Required Catagorical Info

FTACV:

Anomaly (Bad Data):

Ionic Liquid:

Capacitace Profile:

Misc Info (optional)

Solvent:

Electrolyte:

Working Electrode:

Reference Electrode:

Email/User Name:

Organisation:

Experimental textfile:

Password:

AI Model Batch Run

Model Name

FTACV:

Email:

Password:

You will be emailed the results of the AI model run once the batch request has been completed.

Sponsors