An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...
What governs the speed at which raindrops fall, sediment settles in river estuaries, and matter is ejected during a supernova? These questions circle around one, deceitfully simple factor: the rate at ...
Researchers have developed a high-tech system that rapidly scans ants and converts them into detailed 3D models. Using a synchrotron accelerator, X-ray imaging, robotics, and AI, the team scanned ...
Pushed down to a certain scale, the laws of physics seem to fall apart. Astrid Eichhorn, a leader in an area of study called asymptotic safety, thinks we just need to push a little further.
Dot Physics on MSN
Python tutorial: Proton motion in a constant magnetic field
Learn how to simulate proton motion in a constant magnetic field using Python! This tutorial walks you through the physics behind charged particle motion, step-by-step coding, and visualization ...
The Editorial Board of the Proceedings of the National Academy of Sciences (PNAS) has selected six papers published by PNAS in 2025 to receive the Cozzarelli Prize, an award that recognizes ...
Abstract: This paper proposes an intelligent approach for task scheduling and power management in multi-core systems using augmented particle swarm optimization. The algorithm prioritizes tasks based ...
This Python project provides a means of running parallelized Widom's Test Particle Insertion Method [1] on all sorts of configurations drawn from molecular-dynamics or monte-carlo simulations. This ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Abstract: We present a novel particle-grid scheme for simulating bubble and foam flow. At the core of our approach lies a particle representation that combines the computational nature of moving least ...
In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results