Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Madras, have developed a framework that can boost protection of critical infrastructure in the country against the threat of ...

Researchers have developed a framework that can boost the protection of critical infrastructure in the country against the threat of ballistic missiles. According to an official release, this ...

Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.

The study of wave phenomena by means of mathematical models often leads to a certain class of nonlinear partial differential equations referred to as integrable systems. My main area of research deals ...

IIT Madras researchers developed a framework that will make India's military bunkers resistant against incoming ballistic ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...