IEEE

A Fast Approach for Calculating Eigenmode of Quasi-2-D Slow Wave Structure for Sheet Electron Beam TWTs

Abstract: The quasi-2-D slow wave structures (quasi-2D SWSs) have mostly widely used in sheet electron beam traveling wave tubes (SEB TWTs) in recent years. This article proposed a new fast ...
IEEE

Single-Layer Graph Neural Networks for Discrete Element Method Simulations

Abstract: Graph neural networks (GNNs) have demonstrated success as surrogate models for fluid simulations with smoothly varying dynamics, but their efficacy for discrete element method (DEM) ...

New approach to detect ultra-rare part-per-sextillion isotopes could also sharpen dark matter searches

The detection and study of isotopes, atoms of the same element that have different numbers of neutrons, could expand the ...
AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
eLife

The long-range gene regulatory landscape of cerebellar granule neuron progenitors

Neuronal specification, expansion and differentiation are tightly regulated by the concerted actions of transcription and chromatin modifying factors that are recruited to regulatory elements in the ...