Physics-informed neural networks for solving thermo-mechanics problems of functionally graded material

Understand

Differential equations are indispensable to engineering and hence to innovation.

• In recent years, physics-informed neural networks (PINN) have emerged as a novel method for solving differential equations.
• PINN method has the advantage of being meshless, scalable, and can potentially be intelligent in terms of transferring the knowledge learned from solving one differential equation to the other.
• The exploration in this field has majorly been limited to solving linear-elasticity problems, crack propagation problems.