In an earlier blog post about Christopher Nolan's latest blockbuster movie, Interstellar, I lauded the film for its ambition, ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Morning Overview on MSN
A mass-making hidden-dimensions theory could rewrite particle physics
Physicists have spent decades treating mass as something the universe simply hands to particles, a property encoded in ...
Dot Physics on MSN
Spring force and potential energy in physics
Explore the relationship between spring force and potential energy in this physics breakdown! Learn how springs store energy, how Hooke's Law applies, and how to calculate the potential energy in ...
Dark matter is an elusive type of matter that does not emit, absorb or reflect light, interacting very weakly with ordinary ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
The theorized unseen structure of spacetime could also explain of the outstanding questions about the accelerating expansion ...
Quantum information theory is a field of study that examines how quantum technologies store and process information. Over the ...
Researchers explored the nuanced dynamics of how people balance their desire to speak out vs their fear of punishment in a ...
We’ve had quantum science on our minds all year long, courtesy of 2025 being UNESCO’s International Year of Quantum Science ...
Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...
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