Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning
This study addresses the critical need for high-strength, corrosion-resistant materials in
renewable energy, biomedical and maritime applications, necessitating effective heat …
renewable energy, biomedical and maritime applications, necessitating effective heat …
Performance evaluation of GPVs in existing TFET and proposed DG-JL-TFET: enhancing the RF performance through qualitative and quantitative approaches
T Raja, K Sekhar - Applied Physics A, 2024 - Springer
This work thoroughly investigates the variations in geometrical parameters of both existing
Tunnel Field-Effect Transistors (TFETs) and proposed Double-Gate Junctionless Tunnel …
Tunnel Field-Effect Transistors (TFETs) and proposed Double-Gate Junctionless Tunnel …
Performance optimization of AlGaAs and Al x Ga 1− x As based SM-TM-DG-JL-TFET for an analog/RF applications
R Tamilarasi, S Karthik - Physica Scripta, 2024 - iopscience.iop.org
This study aims to enhance the efficiency of the Double Gate-Junctionless-Tunnel Field
Effect Transistor (DG-JL-TFET) by optimizing the utilization of AlGaAs and GaAs/Si/AlGaAs …
Effect Transistor (DG-JL-TFET) by optimizing the utilization of AlGaAs and GaAs/Si/AlGaAs …
Machine learning based prediction of I–V and transconductance curves for 3D multichannel junctionless FinFET
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 …
V characteristics and transconductance curve of a multichannel junctionless FinFET design …