Rebrand project from nx-optimaster to Atomizer
- Update project name in all documentation files - Update GitHub repository references to Anto01/Atomizer - Update Python package name to 'atomizer' - Update conda environment name references - Update all module docstrings with new branding 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
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# NX OptiMaster
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# Atomizer
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> Advanced optimization platform for Siemens NX Simcenter with LLM-powered configuration
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## Overview
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NX OptiMaster is a next-generation optimization framework for Siemens NX that combines:
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Atomizer is a next-generation optimization framework for Siemens NX that combines:
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- **LLM-Driven Configuration**: Use natural language to set up complex optimizations
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- **Advanced Algorithms**: Optuna-powered TPE, Gaussian Process surrogates, multi-fidelity optimization
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1. **Clone the repository**:
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```bash
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git clone https://github.com/atomaste/nx-optimaster.git
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cd nx-optimaster
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git clone https://github.com/Anto01/Atomizer.git
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cd Atomizer
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```
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2. **Create Python environment**:
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```bash
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conda create -n nx-optimaster python=3.10
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conda activate nx-optimaster
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conda create -n atomizer python=3.10
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conda activate atomizer
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```
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3. **Install dependencies**:
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```json
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{
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"nx_executable": "C:/Program Files/Siemens/NX2306/NXBIN/ugraf.exe",
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"python_env": "C:/Users/YourName/anaconda3/envs/nx-optimaster/python.exe"
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"python_env": "C:/Users/YourName/anaconda3/envs/atomizer/python.exe"
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}
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```
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## Project Structure
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```
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nx-optimaster/
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Atomizer/
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├── mcp_server/ # MCP server implementation
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│ ├── tools/ # MCP tool definitions
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│ ├── schemas/ # JSON schemas for validation
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