<ul><li>Nonlinear structural analyses in engineering often require extensive finite element simulations.</li><li>Point-DeepONet is an operator-learning-based surrogate that integrates PointNet into the DeepONet framework.</li><li>It accurately predicts three-dimensional displacement and von Mises stress fields without mesh parameterization or retraining.</li><li>Point-DeepONet provides predictions in mere seconds, approximately 400 times faster than nonlinear finite element analyses.</li></ul>

Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions

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