Machine Learning‐Enabled Smart Gas Sensing Platform for Identification of Industrial Gases

Both ammonia and phosphine are widely used in industrial processes, and yet they are noxious and exhibit detrimental effects on human health. Despite the remarkable progress on sensors development, there are still some limitations, for instance, the requirement of high operating temperatures, and th...

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Detalhes bibliográficos
Main Authors: Shirong Huang, Alexander Croy, Luis Antonio Panes-Ruiz, Vyacheslav Khavrus, Viktor Bezugly, Bergoi Ibarlucea, Gianaurelio Cuniberti
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2022-04-01
Colecção:Advanced Intelligent Systems
Assuntos:
ammonia and phosphine
gas detection
gas identification
machine learning techniques
molecular dynamics simulations
smart gas sensing
Acesso em linha:https://doi.org/10.1002/aisy.202200016
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