Unlocking the Secrets of Nature with Physics-Informed Neural Networks

Monendra Grover, Dwijesh Mishra & Girish Kumar Jha

IMG

In the quest to understand the intricate workings of the universe, scientists have always been on the lookout for innovative tools and techniques to advance their understanding of the physical world. In recent years, one remarkable fusion of two powerful fields, physics and artificial intelligence, has emerged to accelerate our comprehension of complex physical systems. This fusion is known as Physics-Informed Neural Networks (PINNs), and it's changing the way we approach scientific discovery.

To grasp the significance of PINNs, we must first understand the two components at play: physics and neural networks.
Physics is the fundamental science that seeks to describe the behaviour of the universe through the formulation of mathematical laws and principles. These laws govern everything from the motion of planets to the behaviour of subatomic particles. Solving complex physical problems often requires…read more on NOPR