This repository contains a collection of Jupyter notebooks designed to demonstrate the capabilities and functionalities of Cybershuttle, an advanced computational science framework.
Cybershuttle seamlessly integrates local and remote computing resources, enabling researchers to conduct efficient and optimized scientific computations. This repository provides example notebooks to help you understand and utilize Cybershuttle in your computational workflows.
- Seamless Integration: Balance between local and remote resources.
- Automated Data Management: Efficient data transfer and management.
- Domain-Specific Plugins: Tailored tools for molecular dynamics, neuroscience, quantum chemistry, and geosciences.
- AI-Driven Experimentation: Intelligent tools for experiment input generation and hypothesis testing.