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Deep characterization of the electrical features of Ag/P3HT/SiNWs Schottky diodes by machine learning models based on experimental study
by
Laajimi, Radhouane
,
Laajimi, Kawther
,
Rahmani, Mehdi
Published in
Surfaces and interfaces
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Two metal-insulator transitions and magnetoresistive properties investigation in La 0.67 Ca 0.33 − x Sr x Mn 0.98 Ni 0.02 O 3 ( 0.1 ≤ x ≤ 0.3 )
by
Laajimi, Kawther
,
Khlifi, Mouadh
,
Hlil, El Kebir
,
Brahem, Rahma Ayed
,
Alshahrani, Thamraa
,
Albedah, Mohammed A.
,
Gazzah, Mohamed Hichem
,
Dhahri, Jemai
,
Belmabrouk, Hafedh
Published in
Journal of alloys and compounds
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An in-depth study by machine learning models of the absorbance properties of stable Ta2O5 nanotubes decorated by PbS nanoparticles for photocatalytic applications
by
Khemissi, Ines
,
Laajimi, Radhouane
,
Mabrouk, Kawther Ben
,
Hajjaji, Anouar
,
Rahmani, Mehdi
Published in
Materials research bulletin
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Journal Title
Journal Of Alloys And Compounds
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Materials Research Bulletin
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Surfaces And Interfaces
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Subjects
Physics
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Ann Model
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Chemistry
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Chemistry, Physical
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Machine Learning
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Machine Learning Models
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Materials Science
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Materials Science, Coatings & Films
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Modeling
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P3Ht
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Photocatalytic Dye Degradation
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Physical Sciences
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Physics, Applied
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Physics, Condensed Matter
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Schottky Diode
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Science & Technology
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Sinws
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Ta2O5 Nanotube
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Technology
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Sciencedirect Journals
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Elsevier
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Backfile Package - Materials Science [Yms]
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