Abstract: In this paper, physics informed neural networks are used for numerical approximation of partial differential equations. The data which is used in the process is generated by Latin Hypercube ...

Abstract: Partial differential equations (PDEs) are an essential computational kernel in physics and engineering. With the advance of deep learning, physics-informed neural networks (PINNs), as a mesh ...

This engineering exam, which is a gateway to some of the premium engineering colleges such as IITs, NITs and more, cover ...

A single equation found on a Babylonian clay tablet, written nearly four millennia ago, reveals a mathematical insight eerily similar to theories used in modern ...

Some questions in the exam will require you to recall and apply equations you have learned in class. Other questions will ask you to use the ‘Physics Equation Sheet’. This is a set list of equations ...

A single equation found on a Babylonian clay tablet, written nearly four millennia ago, reveals a mathematical insight eerily similar to theories used in modern cosmology. Democrats Alarmed as Supreme ...

In the coming months, a task force of Delaware lawmakers and stakeholders — many of whom have no experience with nuclear ...

Betrayal, ambition and the double helix: turning Rosalind Franklin’s story and the discovery of the structure of DNA into an ...

Quantum entanglement is one seriously long-distance relationship. Quantum entanglement occurs when two subatomic particles become linked in such a way that their properties remain connected, no matter ...