Work

Artificial Intelligence Enabled Cognitive Computing for AlN/β-Ga2O3 HEMT

Year: 2025

Type: conference-paper

Source: International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

DOI: 10.1109/cictn64563.2025.10932586

Authors: Yogesh Kumar Verma, Kamal Bhatia, Khushboo, Aastha Bhanot, Trijeeta Roy, Supriya Sinha, Laksh

Institution: Lovely Professional University

Language: English

Topic: Ga2O3 and related materials

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408862764

FWCI:

Cites: 13

Cited by:

Related to: 10