Transformer-Driven Inverse Learning for AI-Powered Ceramic Material Innovation With Advanced Data Preprocessing

In the advanced landscape of materials science, particularly in the development of ceramic materials, artificial intelligence (AI) emerged as a transformative tool for accelerating innovation. This study proposed a comprehensive analysis of the Transformer-based Inverse Learning model to optimize co...

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Detalles Bibliográficos

Principais autores:	Murad Ali Khan, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do-Hyeun Kim
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Access
Assuntos:	Artificial intelligence (AI) materials science ceramic materials transformer-based model inverse learning data augmentation
Acceso en liña:	https://ieeexplore.ieee.org/document/10804758/
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