Our system of project-based learning integrates engineering science with practical projects. Throughout the programme you will design, build and fly complex air systems such as drones, rockets and ...
A survey of Scientific American’s century of quantum coverage helps explain the enduring popularity of strange physics ...
In September 2025, the National Science Popularization Month event themed "Technology Changes the Future, Innovation Wins the ...
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A New Formula for Pi Is Here. And It’s Pushing Scientific Boundaries.
Physicists are now using principles from quantum mechanics to build a new model of the abstract concept of pi. Or, more ...
Scientists propose that gravitational waves shaped the universe. Their model challenges inflation theory. How exactly did the universe start, and how did these processes determine its formation and ...
IIT JAM Maths Syllabus 2026: The IIT JAM Mathematics (MA) syllabus is a crucial resource for any student aiming to appear for the IIT JAM 2026 examination. The syllabus clearly outlines all the ...
I. Introduction -- II. Bernoulli's equations -- III. The stream function -- IV. Circulation and vorticity -- V. The velocity potential and the potential function -- VI. The transformation of a circle ...
The RRB JE 2025 syllabus is designed differently for each branch. The subjects mainly cover core engineering topics along with general awareness, arithmetic, and reasoning based on the specific ...
Abstract: Solving Maxwell's equations is crucial in various fields, like electromagnetic scattering and antenna design optimization. Physics-informed neural networks (PINNs) have shown powerful ...
Abstract: The high cost of acquiring a sufficient amount of seismic data for training has limited the use of machine learning in seismic tomography. In addition, the inversion uncertainty due to the ...
Physics-informed neural networks (PINNs), rooted in deep learning, have emerged as a promising approach for solving partial differential equations (PDEs). By embedding the physical information ...
This repo is the Pytorch implementation of our manuscript titled AirPhyNet: Physics-Guided Neural Networks for Air Quality Prediction. In this study, we present a novel physics guided differential ...
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