feat: Add AtomizerField training data export and intelligent model discovery

Major additions:
- Training data export system for AtomizerField neural network training
- Bracket stiffness optimization study with 50+ training samples
- Intelligent NX model discovery (auto-detect solutions, expressions, mesh)
- Result extractors module for displacement, stress, frequency, mass
- User-generated NX journals for advanced workflows
- Archive structure for legacy scripts and test outputs
- Protocol documentation and dashboard launcher

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

optimization_engine/extractors/extract_displacement.py

@@ -0,0 +1,64 @@
+"""
+Extract maximum displacement from structural analysis
+Auto-generated by Atomizer Phase 3 - pyNastran Research Agent
+
+Pattern: displacement
+Element Type: General
+Result Type: displacement
+API: model.displacements[subcase]
+"""
+
+from pathlib import Path
+from typing import Dict, Any
+import numpy as np
+from pyNastran.op2.op2 import OP2
+
+
+def extract_displacement(op2_file: Path, subcase: int = 1):
+    """Extract displacement results from OP2 file."""
+    from pyNastran.op2.op2 import OP2
+    import numpy as np
+
+    model = OP2()
+    model.read_op2(str(op2_file))
+
+    # NX Nastran often uses empty string '' as subcase key
+    available_subcases = list(model.displacements.keys())
+    if not available_subcases:
+        raise ValueError(f"No displacement data found in OP2 file")
+
+    # Use the first available subcase (often '' for NX Nastran)
+    actual_subcase = available_subcases[0]
+    disp = model.displacements[actual_subcase]
+
+    itime = 0  # static case
+
+    # Extract translation components
+    txyz = disp.data[itime, :, :3]  # [tx, ty, tz]
+
+    # Calculate total displacement
+    total_disp = np.linalg.norm(txyz, axis=1)
+    max_disp = np.max(total_disp)
+
+    # Get node info
+    node_ids = [nid for (nid, grid_type) in disp.node_gridtype]
+    max_disp_node = node_ids[np.argmax(total_disp)]
+
+    return {
+        'max_displacement': float(max_disp),
+        'max_disp_node': int(max_disp_node),
+        'max_disp_x': float(np.max(np.abs(txyz[:, 0]))),
+        'max_disp_y': float(np.max(np.abs(txyz[:, 1]))),
+        'max_disp_z': float(np.max(np.abs(txyz[:, 2])))
+    }
+
+
+if __name__ == '__main__':
+    # Example usage
+    import sys
+    if len(sys.argv) > 1:
+        op2_file = Path(sys.argv[1])
+        result = extract_displacement(op2_file)
+        print(f"Extraction result: {result}")
+    else:
+        print("Usage: python {sys.argv[0]} <op2_file>")