Hang Tran

A Parameterized Data-Driven Neural Network with Physics-Based Regularization for Thermal Field Prediction in Metal Additive Manufacturing

Aishwarya Manjunath, Hang Tran, Selvamurugan Palaniappan, Shashank Sharma, Song Fu, Narendra B. Dahotre

Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations

Duc Tien Nguyen, Hang Tran, Trinh Minh Tuan, Nguyen Duc Manh, Dinh Gia Ninh

Physics-informed neural networks (PINNs) provide a mesh-free framework for solving partial differential equations, but their training is often affected by loss imbalance, optimization stiffness, and difficulty in capturing localized or multi-mode solution structures. Hard-soft PI…Read more