AI Physics: The Transformative Impact of Machine Learning on Simulation and Design
For much of the 20th and early 21st centuries, physics-based simulations served as the cornerstone of scientific research and engineering innovation. Methods rooted in analytical mathematics—such as finite element analysis, computational fluid dynamics, and molecular dynamics—have provided insights into everything from turbulence in fluid flows to atomic-scale interactions. However, these traditional approaches are reaching their…
Scientific Asia