Deep Ensemble Classifier for Elasticity Failure Maps¶

Notebook: DeepEnsemble_Elasticity2D_Classification_Tutorial.ipynb

This tutorial uses DeepEnsembleClassifier on a notch-mechanics-inspired failure map. The input space is scientific parameter space rather than physical coordinates, and the ensemble highlights uncertainty near the safe/failure boundary.

Key ideas: - probability averaging across independent classifiers, - failure classification under parameter-space distribution shift, - ensemble disagreement near the decision boundary.

Primary references: - Lakshminarayanan, Pritzel, Blundell (2017), Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles. NeurIPS proceedings - Hansen, Salamon (1990), Neural Network Ensembles. DOI: 10.1109/34.58871