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Machine-learning-aided DFT-1/2 calculations for bandgaps of zinc oxide thin films
Wei Che Tseng, Chao Cheng Kaun,
Yen Hsun Su
材料科學及工程學系
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Engineering & Materials Science
Density functional theory
100%
Zinc oxide
88%
Oxide films
82%
Energy gap
75%
Thin films
63%
Machine learning
49%
Genetic algorithms
35%
Neural networks
30%
Electronic structure
24%
Zinc
18%
Set theory
10%
Physics & Astronomy
machine learning
85%
zinc oxides
64%
genetic algorithms
56%
density functional theory
51%
thin films
34%
cut-off
27%
radii
20%
zinc
14%
electronic structure
12%
oxygen
10%
simulation
6%
Chemical Compounds
Zinc Oxide
65%
Band Gap
50%
Electronic State
16%
Simulation
14%
Dioxygen
10%