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Machine learning applied to defect formation in 2D materials

Grant number: 24/18356-0
Support Opportunities:Scholarships in Brazil - Program to Stimulate Scientific Vocations
Start date: January 10, 2025
End date: February 19, 2025
Field of knowledge:Physical Sciences and Mathematics - Physics - Condensed Matter Physics
Principal Investigator:Adalberto Fazzio
Grantee:Ismagno Alves Carvalho
Host Institution: Centro Nacional de Pesquisa em Energia e Materiais (CNPEM). Ministério da Ciência, Tecnologia e Inovação (Brasil). Campinas , SP, Brazil

Abstract

The aim of this project is to apply artificial intelligence (AI) tools to predict the vacancy formation energy in 2D materials. These materials are promising for various technological applications, such as flexible electronics and catalysis, and understanding their structural defect properties, like vacancies, is essential for the development of efficient devices. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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