Around the world, research is advancing to efficiently confine fusion plasma and harness its immense energy for power generation. However, it is known that turbulence occurring at various scales ...

Imagine a cloud that shines like a neon sign, but instead of raindrops, it contains countless microscopic dust grains floating in midair. This is a dusty plasma, a bizarre state of matter found both ...

For decades, mathematicians have struggled to understand matrices that reflect both order and randomness, like those that model semiconductors. A new method could change that. The mystery was this: In ...

“Analysis of Electric Machinery and Drive Systems” covers the concepts needed to understand the evolution of electrical and magnetic variables for designing the power-electronic circuits that supply ...

As in the Wigner-Seitz and Slater cellular approximation it is assumed that the valence electron potential is spherically symmetrical within a lattice cell. Then the Schrödinger equation becomes ...

1 Niels Bohr International Academy, Niels Bohr Institute, Copenhagen, Denmark 2 Institute for Physical Science and Technology, University of Maryland, College Park, MD, United States Oscillations of ...

Figure 9. Mean function and eigenfunctions for longitudinal behavioral data. The estimated mean function μ^ and the first three estimated spherical eigenfunctions ϕ^1, ϕ^2, ϕ^3 for the behavioral fly ...

Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China This paper proposes a novel deep learning model incorporating attention mechanisms for the ...

You can think of eigenvalues and their associated eigenvectors as a decomposition of a matrix. Eigenvalues and eigenvectors are needed for PCA. But computing eigenvalues and eigenvectors directly is ...