examples/Models/Bracket/test_csv_field.csv

step(),node_id(),x(mm)
0, 382, -0.186860948801041
0, 383, -0.186985194683075
0, 384, -0.190406382083893
0, 385, -0.187423497438431
0, 386, -0.188400566577911
0, 4, -0.194141328334808
0, 11, -0.186878338456154
0, 14, -0.186878606677055
0, 8, -0.194141730666161
0, 122, -0.186893939971924
0, 123, -0.187040582299232
0, 124, -0.187513649463654
0, 125, -0.190405949950218
0, 126, -0.188516646623611
0, 129, -0.186852499842644
0, 58, -0.194315358996391
0, 153, -0.186894223093987
0, 154, -0.187040895223618
0, 155, -0.190406322479248
0, 156, -0.187514021992683
0, 157, -0.188517063856125
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> 2025-11-26 12:01:50 -05:00			`step(),node_id(),x(mm)`
			`0, 382, -0.186860948801041`
			`0, 383, -0.186985194683075`
			`0, 384, -0.190406382083893`
			`0, 385, -0.187423497438431`
			`0, 386, -0.188400566577911`
			`0, 4, -0.194141328334808`
			`0, 11, -0.186878338456154`
			`0, 14, -0.186878606677055`
			`0, 8, -0.194141730666161`
			`0, 122, -0.186893939971924`
			`0, 123, -0.187040582299232`
			`0, 124, -0.187513649463654`
			`0, 125, -0.190405949950218`
			`0, 126, -0.188516646623611`
			`0, 129, -0.186852499842644`
			`0, 58, -0.194315358996391`
			`0, 153, -0.186894223093987`
			`0, 154, -0.187040895223618`
			`0, 155, -0.190406322479248`
			`0, 156, -0.187514021992683`
			`0, 157, -0.188517063856125`