Electrohydrodynamics for Hall Effect Thrusters

Model Card

Model Overview

Model Name: mistral-7b-hall-thruster-fluid-dynamics
Model Type: Transformer-based language model
Languages: English
License: MIT

This model is based on the Mistral-Large-Instruct-2411 foundation model and is being fine-tuned on the Taylor658/Electrohydrodynamics dataset. It is designed to assist with understanding electrohydrodynamics, plasma fluid interactions, and related fluid dynamic phenomena in Hall Effect Thrusters (HETs).

Model Details

Developers: A Taylor
Model Architecture: Transformer-based with enhancements for code generation and multimodal processing
Parameters: 7 Billion
Native Function Calling: Supported
Multimodal Capabilities: Text-based domain discussions

Intended Use

Primary Applications: - Assist aerospace engineers and researchers in analyzing plasma and fluid flows in HET channels - Provide support for understanding electrohydrodynamics in HET's - Facilitate research by offering computational assistance in modeling plasma fluid interactions
Usage Scenarios:
- Discussing the influence of magnetic fields on electron mobility
- Explaining ionization dynamics in the thruster discharge channel
- Interpreting simulation data and theoretical results for efficiency and plume characteristics

Training Data

Dataset Name: Taylor658/Electrohydrodynamics
Description: A dataset containing textual explanations, theoretical derivations, and computational concepts related to fluid dynamics and plasma interactions in Hall Effect Thrusters.
Data Modalities:
- Text: Technical documentation, research summaries, and theoretical analyses
- Code:

Training Procedure

The model will be fine tuned to enhance its capabilities in handling advanced fluid dynamics and plasma physics scenarios relevant to Hall Effect Thrusters. Key enhancements include:

Domain-Specific Fine-Tuning: Adjusting the model's parameters using the Taylor658/Electrohydrodynamics dataset to improve performance in electrohydrodynamics.
Validation and Testing: Ensuring the model’s outputs are accurate and reliable by comparing them against established literature and computational benchmarks.
Iterative Refinement: Continuously refining responses based on domain expert feedback and real-world problem sets.

How to Use

Input Format:
- Natural language queries or prompts about electrohydrodynamics, fluid flow, or plasma phenomena in Hall Effect Thrusters.
Examples:
- "Explain how the Hall parameter affects electron mobility in a Hall Effect Thruster."
- "What are the primary factors influencing ionization efficiency in the thruster channel?"

Limitations

Work in Progress: The model is currently being fine tuned; performance may improve over time.
Domain Specificity: Optimized for Hall Effect Thruster fluid dynamics, may not generalize well outside this domain.
Computational Resources: Requires adequate gpu for optimal performance due to model size.

Ethical Considerations

Accuracy: Intended as a research and educational aid; not a substitute for expert judgment.

Acknowledgements

Mistral AI: For providing the Mistral-Large-Instruct-2411 foundation model.
Dataset Contributors: A Taylor

License

Model License: MIT
Dataset License: MIT

Future Work

Next Version: Will incorporate magnetohydrodynamic modeling, improved handling of variable mass flow rates, and refinement of plasma wall interactions.

Contact Information

Author: A Taylor @ hf.co/taylor658
Email

Taylor658
/

Electrohydrodynamics