It's well established that the universe is expanding, but there's serious disagreement among scientists over how fast it's ...
Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
Dot Physics on MSN
Mastering electric field problems with a charged half-ring
Master the concepts of electric fields with a charged half-ring in this detailed physics tutorial! In this video, we guide you step by step through calculating the electric field, analyzing vector ...
Dot Physics on MSN
Calculating electron force in the presence of two charges
Learn how to calculate the force on an electron in the presence of two charges in this beginner-friendly physics tutorial! In this video, we break down the concepts, formulas, and step-by-step ...
Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. These ...
Abstract: Thanks to their convex formulation, kernel regressions have shown an improved accuracy with respect to artificial neural network (ANN) structures in regression problems where a reduced set ...
Abstract: Physics-informed neural networks (PINNs) have been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...
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