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Machine learning-based method for predicting C–V-T characteristics and electrical parameters of GaAs/AlGaAs multi-quantum wells Schottky diodes |
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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: |
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Publisher: |
Elsevier B.V. |
Source file: |
Elektronische Wetenschappelijke Tijdschriften |
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