When we think about heat traveling through a material, we typically picture diffusive transport, a process that transfers ...

The Island has recently published various articles on AI, and they are thought-provoking. This article is based on a paper I presented at a London University seminar, 22 years ago. Will computers ever ...

When we think about heat travelling through a material, we typically picture diffusive transport, a process that transfers heat from high-temperature ...

The CBSE Class 12 Mathematics exam will be conducted on March 9, 2026. Experts share how the class 12 students can design a realistic 15-day study timetable for upcoming board exams.

A research group led by Prof. Li Xiangyang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has made a new discovery: a single organic molecule can induce the Kondo ...

Abstract: Fourier Neural Operator (FNO) has been proven to be a universal and effective deep learning framework capable of achieving remarkable accuracy on Partial Differential Equation (PDE) solution ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

To address the sensitivity of parameters and limited precision for physics-informed extreme learning machines(PIELM) with common activation functions, such as sigmoid ...

Being wildlife enthusiasts and bird watchers we took a river “safari” during a recent family trip to Bentota. We were ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

Abstract: The existence and uniqueness of solutions of nonlinear fractional differential equations is the key point for stability theory and the design of feedback stabilization controllers. In this ...

This repo is the official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network" by Longxiang Jiang, Liyuan Wang, Xinkun Chu, Yonghao Xiao, and Hao Zhang ...