Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...
Morning Overview on MSN
Ramanujan’s π equations are helping physicists decode nature
More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...
Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...
Functional integral equations constitute a broad class of problems in which an unknown function appears under an integral sign. These equations play a pivotal role in modelling complex phenomena in ...
The renowned cosmologist wants to make the ideas of modern physics accessible to anyone who’s willing to do a bit of extra thinking. The following is an excerpt from The Biggest Ideas in the Universe: ...
All the tech we rely on, from cars to smartphones, was engineered using physics. You don’t need to know the science to use these things. But a well-rounded human should understand at least some of the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback