GitHub

Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations

Solving partial differential equations (PDEs) is a required step in the simulation of natural and engineering systems. The associated computational costs significantly increase when exploring various ...
IEEE

Multi-Task Learning Enhanced Physics-Informed Neural Network for Solving Fluid-Structure Interaction Equations

Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...
BBC

Unit 1: English In A Minute

Welcome to English In A Minute. Give us a minute and we'll give you a hot tip about English. Grammar, vocabulary... there's so much to learn! And all taught by your favourite BBC Learning English ...