The application of physics-informed machine learning in multiphysics modeling in chemical engineering
Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
[HTML][HTML] A physics-informed neural network framework for multi-physics coupling microfluidic problems
Microfluidic systems have various scientific and industrial applications, providing a powerful
means to manipulate fluids and particles on a small scale. As a crucial method to underlying …
means to manipulate fluids and particles on a small scale. As a crucial method to underlying …