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>

archive/scripts/monitor_e2e.py

@@ -0,0 +1,46 @@
+"""
+Monitor E2E test progress in real-time
+
+Run this in a separate terminal to see live updates
+"""
+import subprocess
+import sys
+from pathlib import Path
+
+# Load API key from .env
+env_vars = {}
+env_file = Path(".env")
+if env_file.exists():
+    with open(env_file) as f:
+        for line in f:
+            line = line.strip()
+            if line and not line.startswith('#') and '=' in line:
+                key, value = line.split('=', 1)
+                env_vars[key.strip()] = value.strip()
+
+if 'ANTHROPIC_API_KEY' not in env_vars:
+    print("[FAIL] No API key found in .env")
+    sys.exit(1)
+
+print("[OK] API key loaded")
+print()
+print("=" * 80)
+print("RUNNING E2E TEST - LIVE OUTPUT")
+print("=" * 80)
+print()
+
+# Run test with live output (not in background)
+python_exe = "c:/Users/antoi/anaconda3/envs/test_env/python.exe"
+test_script = Path(__file__).parent / "tests" / "test_phase_3_2_e2e.py"
+
+# Set environment and run
+import os
+os.environ.update(env_vars)
+
+# Run with unbuffered output so we see it live
+result = subprocess.run(
+    [python_exe, "-u", str(test_script)],
+    env=os.environ
+)
+
+sys.exit(result.returncode)