Work

Artificial intelligence-driven data generation for temperature-dependent current–voltage characteristics of diodes

Year: 2025

Type: article

Source: FlatChem

DOI: 10.1016/j.flatc.2025.100847

Authors: Betül Ersöz, Ali Öter, Zeynep Berktaş, Halil İbrahim Bülbül, Antonio Di Bartolomeo, Şeref Sağıroğlu, Elif Orhan

Institutions: Gazi University, Kahramanmaraş Sütçü İmam University, Ankara Medipol Üniversitesi, University of Salerno

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4408286288

FWCI: 1.06

Cites: 27

Cited by: 5

Related to: 10