MPL is a domain-specific language that revolutionizes 3D motion and animation through human-readable, semantic syntax. Designed to bridge the gap between natural language and 3D movement, MPL ...

Master vector derivatives in polar coordinates with this clear physics tutorial! Learn step-by-step how to compute derivatives, understand radial and angular components, and apply them to mechanics ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Abstract: Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical ...