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Predicting Model for Device Density of States of Quantum-Confined SiC Nanotube with Magnetic Dopant: An Integrated Approach Utilizing Machine Learning and Density Functional Theory

Nguyễn Thành Tiên, Phạm Thị Bích Thảo, Vusala Nabi Jafarova, Debarati Dey

2024Silicon13 citationsDOI

Topics & Concepts

Materials scienceDopantDensity functional theoryNanotubeQuantumNanotechnologyCondensed matter physicsEngineering physicsComposite materialCarbon nanotubeOptoelectronicsDopingComputational chemistryQuantum mechanicsChemistryPhysicsEngineeringAdvancements in Semiconductor Devices and Circuit DesignSemiconductor materials and devicesSilicon Carbide Semiconductor Technologies
Predicting Model for Device Density of States of Quantum-Confined SiC Nanotube with Magnetic Dopant: An Integrated Approach Utilizing Machine Learning and Density Functional Theory | Litcius