TensorFlow implementation for DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations. Physics-informed neural networks are a type of promising tools to ...

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

Abstract: This work presents an improved modeling approach using fractional differential equations (FDE) and stochastic processes for the I-V characteristics of commercial photovoltaic (PV) modules.

Actin filaments, key to cell structure and movement, may also transmit electrical signals via ion flows. New research uses ...

Abstract: The first-order differential microphone arrays (DMAs) offer the appealing properties such as compact size, and frequency-invariant response, and thus have found a wide range of applications.

IIT Guwahati has released the GATE 2026 Mechanical Engineering Syllabus for the exam scheduled to be held on February 07, 08, ...

British attention turns to Katie Boulter, Francesca Jones, Sonay Kartal, Billy Harris and Jacob Fearnley as they get their US Open campaigns under way. All five have tough tasks on their hands if they ...

A back-to-basics brain teaser is dividing the internet. BholanathDutta shared the sum 100 + 100 × 4 = ? on X, formerly Twitter, sparking debate among users. At first glance, many people speed to the ...

Researchers from IIT Bombay propose a computationally efficient, network theory-based mathematical framework to test decentralised traffic control systems.

Chemical kinetics, thermodynamics, and equilibrium: Chemical equilibrium; Chemical thermodynamics (first and second law); and Chemical kinetics (zero and first order reactions). Physical and chemical ...