Catalyst OT2-Arduino System

A modular automated experimental system for electrochemical experiments using OT-2 and Arduino devices.

Project Repository

This project is hosted on Hugging Face Spaces: https://huggingface.co/spaces/SissiFeng/catalyst-OT2

Overview

This system provides automated control for various electrochemical experiments:

• Open Circuit Voltage (OCV)
• Chronopotentiometry (CP)
• Cyclic Voltammetry Analysis (CVA)
• Potentiostatic Electrochemical Impedance Spectroscopy (PEIS)
• Linear Sweep Voltammetry (LSV)

Each module has a backend script to control OT-2 and Arduino devices for precise experimental control.

Features

• Modular backend system for different electrochemical experiments
• Automated control of OT-2 robot and Arduino devices
• Support for multiple experiment types:
  • Cyclic Voltammetry (CVA)
  • Open Circuit Voltage (OCV)
  • Chronopotentiometry (CP)
  • Linear Sweep Voltammetry (LSV)
  • Potentiostatic EIS (PEIS)
• Real-time data processing and analysis
• Comprehensive parameter validation
• Docker support for easy deployment

Installation

See Installation Guide for detailed instructions.

Hardware Setup

See Hardware Setup Guide for detailed instructions.

Usage

from backends import CVABackend
from utils.validation import validate_parameters

# Create backend instance
backend = CVABackend()

# Define experiment parameters
params = {
    "start_voltage": -0.5,
    "end_voltage": 0.5,
    "scan_rate": 0.1,
    "cycles": 3,
    "arduino_control": {
        "temperature": 25.0,
        "pump_volume": 1.0,
        "ultrasonic_timing": 1000
    }
}

# Execute experiment
results = backend.execute_experiment(params)

Documentation

• API Reference
• Installation Guide
• Hardware Setup

Development

1. Clone the repository
2. Install dependencies
3. Run tests

git clone https://github.com/SissiFeng/catalyst-OT2.git
cd catalyst-OT2
pip install -r requirements.txt
python -m pytest tests/

Docker Support

# Build and run with Docker
docker-compose build
docker-compose up -d

License

MIT License

Copyright (c) 2024 Sissi Feng