Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 3072 of 6539 found articles
 
 
  Machine learning-based method for predicting C–V-T characteristics and electrical parameters of GaAs/AlGaAs multi-quantum wells Schottky diodes
 
 
Title: Machine learning-based method for predicting C–V-T characteristics and electrical parameters of GaAs/AlGaAs multi-quantum wells Schottky diodes
Author: Garoudja, Elyes
Baouta, Assia
Derbal, Abdeladhim
Filali, Walid
Oussalah, Slimane
Khelladi, Meriem
Lekoui, Fouaz
Amrani, Rachid
Sengouga, Nouredine
Henini, Mohamed
Appeared in: Physica. B, Condensed matter
Paging: Volume 685 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3072 of 6539 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands