Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
Dive into fluid dynamics with **“Quadratic Drag In Vertical Motion | Classical Mechanics Explained.”** In this video, we explore how quadratic air resistance affects objects moving vertically, ...
Dive into rotational dynamics with **“Physics Tutorial: Moment Of Inertia Of A Ring About An Axis.”** This video breaks down the concept of moment of inertia for a ring, explaining how mass ...
R. Menezes, J. M. Calabrese, W. F. Fagan, P. I. Prado, R. Martinez-Garcia: The Range-Resident Logistic Model: A New Framework to Formalise the Population-Dynamics Consequences of Range Residency, in ...
Abstract: Reliable estimation of lithium-ion battery capacity degradation is essential for electrified powertrain design and control. This work develops a Physics-Informed Transformer Model (PITM) ...
This repository attempts to replicate the results of the paper Discovery of Unstable Singularities by Yongji Wang, Mehdi Bennani, et al. (17 September 2025). The work presents the first systematic ...
Abstract: Reconstructing complex physical fields from sparse observations remains a central challenge in science and engineering. Conventional data-driven approaches often depend on large, ...
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