Particle physics is the study of the elementary building blocks of matter and radiation and their interaction. The fundamental particles are summarised by the standard model. This includes leptons ...
Volkswagen installed emissions software on more than a half-million diesel cars in the U.S.—and roughly 10.5 million more worldwide—that allows them to sense the unique parameters of an emissions ...
Abstract: This study introduces a physics-based, SPICE-compatible model for Nanosheet Field-Effect Transistors (NsFETs) that offers explicit expressions for the drain current, terminal charges, and ...
The final, formatted version of the article will be published soon. In this work, we highlight recent advances in computational modeling that have significantly enhanced prospects of personalized ...
pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. These ...
Our paper contains experiments on three chaotic dynamics, 1D Kuramoto–Sivashinsky, 2D Kolmogorov Flow (Navier-Stokes) with small (100) and challenging ($1.6\times 10^4$) Reynolds number. For each ...
Abstract: Recently several machine learning methods have been proposed to estimate the SNR, based on launch data and other system factors. These data-driven methods typically require a large number of ...
Feb. 3, 2026 Researchers have found that manganese, an abundant and inexpensive metal, can be used to efficiently convert carbon dioxide into formate, a potential hydrogen source for fuel cells. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results