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>

DEVELOPMENT.md

@@ -2,7 +2,7 @@
 
 ## Project Setup Complete! ✅
 
-Your NX OptiMaster project has been initialized with the following structure:
+Your Atomizer project has been initialized with the following structure:
 
 ```
 C:\Users\antoi\Documents\Atomaste\Atomizer\
@@ -157,8 +157,8 @@ C:\Users\antoi\Documents\Atomaste\Atomizer\
 
 ```bash
 # Create conda environment
-conda create -n nx-optimaster python=3.10
+conda create -n atomizer python=3.10
-conda activate nx-optimaster
+conda activate atomizer
 
 # Install in development mode
 pip install -e .

GITHUB_SETUP.md

@@ -5,8 +5,8 @@
 1. **Go to GitHub**: https://github.com/new
 
 2. **Repository Settings**:
-   - **Owner**: Your GitHub username or organization (e.g., `atomaste`)
+   - **Owner**: `Anto01`
-   - **Repository name**: `nx-optimaster` (or your preferred name)
+   - **Repository name**: `Atomizer`
    - **Description**: "Advanced optimization platform for Siemens NX Simcenter with LLM integration"
    - **Visibility**: ✅ **Private**
    - **DO NOT** initialize with README, .gitignore, or license (we already have these)
@@ -21,10 +21,10 @@ After creating the repository on GitHub, run these commands:
 cd /c/Users/antoi/Documents/Atomaste/Atomizer
 
 # Add the remote repository
-git remote add origin https://github.com/YOUR-USERNAME/nx-optimaster.git
+git remote add origin https://github.com/Anto01/Atomizer.git
 
 # OR if using SSH:
-# git remote add origin git@github.com:YOUR-USERNAME/nx-optimaster.git
+# git remote add origin git@github.com:Anto01/Atomizer.git
 
 # Push the initial commit
 git branch -M main
@@ -33,11 +33,11 @@ git push -u origin main
 
 ## Verify Push
 
-Visit your repository at: `https://github.com/YOUR-USERNAME/nx-optimaster`
+Visit your repository at: `https://github.com/Anto01/Atomizer`
 
 You should see:
 - README.md displayed on the main page
-- All 12 files committed
+- All files committed
 - Private repository badge
 
 ## Next Steps
@@ -77,8 +77,8 @@ Settings → Collaborators → Add people
 ## Clone on Another Machine
 
 ```bash
-git clone https://github.com/YOUR-USERNAME/nx-optimaster.git
+git clone https://github.com/Anto01/Atomizer.git
-cd nx-optimaster
+cd Atomizer
 pip install -r requirements.txt
 ```
 
@@ -100,7 +100,3 @@ git push -u origin feature/new-feature
 # Pull latest changes
 git pull origin main
 ```
-
----
-
-**Note**: Replace `YOUR-USERNAME` with your actual GitHub username throughout this guide.

README.md

@@ -1,4 +1,4 @@
-# NX OptiMaster
+# Atomizer
 
 > Advanced optimization platform for Siemens NX Simcenter with LLM-powered configuration
 
@@ -8,7 +8,7 @@
 
 ## Overview
 
-NX OptiMaster is a next-generation optimization framework for Siemens NX that combines:
+Atomizer is a next-generation optimization framework for Siemens NX that combines:
 
 - **LLM-Driven Configuration**: Use natural language to set up complex optimizations
 - **Advanced Algorithms**: Optuna-powered TPE, Gaussian Process surrogates, multi-fidelity optimization
@@ -48,14 +48,14 @@ NX OptiMaster is a next-generation optimization framework for Siemens NX that co
 
 1. **Clone the repository**:
    ```bash
-   git clone https://github.com/atomaste/nx-optimaster.git
+   git clone https://github.com/Anto01/Atomizer.git
-   cd nx-optimaster
+   cd Atomizer
    ```
 
 2. **Create Python environment**:
    ```bash
-   conda create -n nx-optimaster python=3.10
+   conda create -n atomizer python=3.10
-   conda activate nx-optimaster
+   conda activate atomizer
    ```
 
 3. **Install dependencies**:
@@ -71,7 +71,7 @@ NX OptiMaster is a next-generation optimization framework for Siemens NX that co
    ```json
    {
      "nx_executable": "C:/Program Files/Siemens/NX2306/NXBIN/ugraf.exe",
-     "python_env": "C:/Users/YourName/anaconda3/envs/nx-optimaster/python.exe"
+     "python_env": "C:/Users/YourName/anaconda3/envs/atomizer/python.exe"
    }
    ```
 
@@ -162,7 +162,7 @@ python -m optimization_engine.run_optimizer --config optimization_config.json
 ## Project Structure
 
 ```
-nx-optimaster/
+Atomizer/
 ├── mcp_server/              # MCP server implementation
 │   ├── tools/               # MCP tool definitions
 │   ├── schemas/             # JSON schemas for validation

config/nx_config.json.template

@@ -1,6 +1,6 @@
 {
   "nx_executable": "C:/Program Files/Siemens/NX2306/NXBIN/ugraf.exe",
-  "python_env": "C:/Users/YourName/anaconda3/envs/nx-optimaster/python.exe",
+  "python_env": "C:/Users/YourName/anaconda3/envs/atomizer/python.exe",
   "journals_dir": "./nx_journals",
   "temp_dir": "./temp",
   "default_timeout": 300,

mcp_server/__init__.py

@@ -1,5 +1,5 @@
 """
-NX OptiMaster MCP Server
+Atomizer MCP Server
 
 Model Context Protocol server for LLM-driven NX optimization configuration.
 """

mcp_server/tools/__init__.py

@@ -1,5 +1,5 @@
 """
-MCP Tools for NX OptiMaster
+MCP Tools for Atomizer
 
 Available tools:
 - discover_fea_model: Analyze .sim files to extract configurable elements

optimization_engine/__init__.py

@@ -1,7 +1,7 @@
 """
-NX OptiMaster Optimization Engine
+Atomizer Optimization Engine
 
-Core optimization logic with Optuna integration, reused and enhanced from Atomizer.
+Core optimization logic with Optuna integration for NX Simcenter.
 """
 
 __version__ = "0.1.0"

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
-name = "nx-optimaster"
+name = "atomizer"
 version = "0.1.0"
-description = "Advanced optimization platform for Siemens NX Simcenter with MCP integration"
+description = "Advanced optimization platform for Siemens NX Simcenter with LLM integration"
 authors = [
     {name = "Atomaste", email = "contact@atomaste.com"}
 ]