In the everyday world, governed by classical physics, the concept of equilibrium reigns. If you put a drop of ink into water, ...
Simplifying quantum simulations—symmetry can cut computational effort by several orders of magnitude
Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...
A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...
Dot Physics on MSN
Python physics lesson 10: Visualizing a mass on a spring in 3D
Explore Python Physics Lesson 10 and learn how to visualize a mass on a spring in 3D using Python simulations. This lesson walks you through modeling oscillatory motion, understanding spring dynamics, ...
Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data centers.
Scientists and medical experts are countering climate denialism, vaccine scepticism and wellness pseudoscience on social ...
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Dot Physics on MSNOpinion
Python physics 28: Electric potential explained for curved trajectories
In Python Physics #28, we explore electric potential along curved trajectories using Python simulations. Learn how to calculate and visualize how electric potential changes for charges moving along ...
Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...
Abstract: Large-scale simulations of semiconductor devices are crucial for understanding their behavior, yet each iteration of these simulations can take hours or even days. The complexity of modern ...
This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...
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