Thanks to the increasingly high standard of electronics, the semiconductor material science
and semiconductor manufacturing have been booming in the last few decades, with massive …

A machine learning (ML) aided device simulation of work function fluctuation (WKF) for 3-D
multichannel gate-all-around silicon nanosheet MOSFET is presented. To establish the ML …

In this paper, a self-consistent inverse procedure is developed for the estimation of linear
thermal expansion coefficient and thermal diffusivity of solids from transmission …

In this paper, electronic semiconductor characterization using reverse-back procedure was
applied to different photoacoustic responses aiming to find effective ambipolar diffusion …

In this work, theoretically/mathematically simulated (TMS) model is presented for the
photoacoustic (PA) frequency response of a semiconductor in a minimum volume PA cell. By …

We analyze an extension of the dual-phase lag model of thermal diffusion theory to
accurately predict the contribution of thermoelastic bending (TE) to the Photoacoustic (PA) …

Application of pulsed photoacoustic spectroscopy for in-situ measurements of trace gases
with changeable spatial and temporal distribution requires high sensitivity, selectivity, and …

Obtaining thermal parameters based in the analysis only on the amplitude or phase of the
photoacoustic (PA) signal from photothermal measurements is useful and valid once …

Alternative techniques have been proposed for material thermal characterization. One of
them is the Open Photoacoustic (OPC) technique, which uses a pressure variation induced …

In this study, we have proposed the utilization of machine learning techniques to predict the I–
V characteristics and transconductance curve of a multichannel junctionless FinFET design …