Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in ...

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Researchers taking the first-ever direct measurement of atom temperature in extremely hot materials inadvertently disproved a decades-old theory and upended our understanding of superheating. It's ...

A numerical framework for solving quantum mechanical eigenvalue problems using matrix methods and the Lanczos algorithm, with both serial and parallel (MPI+OpenMP) implementations.

From the discovery of gravity to the first mission to defend Earth from an asteroid, here are the most important physics experiments that changed the world. When you purchase through links on our site ...

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...

ABSTRACT: The optimization of velocity field is the core issue in reservoir seismic pressure prediction. For a long time, the seismic processing velocity analysis method has been used in the ...

Modeling complex physical dynamics is a fundamental task in science and engineering. Traditional physics-based models are first-principled, explainable, and sample-efficient. However, they often rely ...