Exascale Aurora helps scientists model fusion plasma and train AI to predict reactor disruptions. Aurora, one of the fastest supercomputers in the world, is now being used to simulate one of science’s ...
Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.
For the past two decades, scientists have wondered about a bright, distinct striped pattern seen in radio waves emanating ...
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Circular flying pig simulation in Python made simple
Learn how to create a circular flying pig simulation in Python in this step-by-step tutorial! This video breaks down the coding process, making it simple for beginners and Python enthusiasts to follow ...
Nanofabrication engineers often rely on fluorocarbon-based plasmas to etch silicon dioxide (SiO₂), but polymerization from these chemistries can cause non-uniformity and process drift. Bernet et al.
Abstract: This paper presents a novel microwave-based parameter reconstruction method integrating full-wave simulation and deep learning inversion for diagnosing inhomogeneous plasmas. A ...
A team of scientists from UK Atomic Energy Authority (UKAEA), the Johannes Kepler University (JKU) Linz, and Austrian startup Emmi AI, have developed an AI tool named GyroSwin, which can create ...
Realization of digital-twin control by connecting Large Helical Device (LHD) (Toki, Gifu) located at NIFS and the Plasma Simulator supercomputer (Rokkasho, Aomori), jointly procured by NIFS and QST, ...
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