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HyCAN

HyCAN (Hydrogen Catalyst and Nanomaterials) is an open-source collaborative project aimed at driving innovation in clean hydrogen energy solutions. This initiative brings together researchers, industry leaders, and technologists to address critical challenges in sustainable energy through the lens of hydrogen production. The project is grounded in the principles of transparency, collaboration, and cutting-edge research to accelerate the global transition to green energy.

Overview

Key focus areas include: - Catalyst Performance Optimization: Utilizing machine learning models to design and improve catalysts for efficient hydrogen production processes, significantly reducing energy costs and maximizing yield. - Nanomaterial Synthesis: Exploring advanced synthesis techniques for creating high-performance nanomaterials tailored for hydrogen energy applications. - Scalable and Sustainable Technologies: Promoting technologies that ensure hydrogen production processes are scalable, cost-effective, and environmentally friendly.

Features

  • Interactive Dashboards: Real-time data visualization with interactive filters using Dash and Plotly.
  • Data Processing: Preprocessing functions to handle missing data, scale datasets, and validate structures.
  • API Integration: Seamless integration with external APIs for real-time data fetching.
  • Error Handling: User-friendly error messages for actionable feedback.
  • Customizable Configuration: Modify settings using the config.yml file.
  • Simplified Deployment: Dockerized setup with docker-compose.yml for one-command deployment.
  • Interactive Tutorials: Step-by-step Jupyter Notebook tutorials for quick onboarding.