Semiconductor Engineering

Accelerating Semiconductor Innovation Through Machine Learning-Driven Modeling

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
TMCnet

MicroCloud Hologram Inc. Develops Quantum-Enhanced Deep Convolutional Neural Network Image 3D Reconstruction Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
JSTOR Daily

MODEL ANALYSIS AND PARAMETER EXTRACTION FOR MOS CAPACITOR INCLUDING QUANTUM MECHANICAL EFFECTS

Journal of Computational Mathematics, Vol. 24, No. 3, SPECIAL ISSUE DEDICATED TO THE 70TH BIRTHDAY OF PROFESSOR LIN QUN (MAY 2006), pp. 401-411 (11 pages) The high frequency CV curves of MOS capacitor ...
EurekAlert!

Toward accurate modeling of power MOSFET electrical characteristics

Ikoma, Japan – Scientists from Nara Institute of Science and Technology (NAIST) used the mathematical method called automatic differentiation to find the optimal fit of experimental data up to four ...
pv magazine International

Optimization technique to extract unknown PV system parameters from manufacturers’ datasheets

An Indian-Ethiopian research group developed a datasheet-based approach for PV system parameter estimations that offers the advantage of not requiring time-consuming and expensive extensive ...
Semiconductor Engineering

The Complex Art Of Handling S-Parameters

Signals operating in the radio frequency (RF) realm between 3 kHz to 300 GHz are an inherent part of processing by circuit components within and outside an IC. Linear characteristics of RF circuits ...