Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...