Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset

Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset

Nowadays, most experiments to synthesize and test photocatalytic antimicrobial materials are based on trial and error. More often than not, the mechanism of action of the antimicrobial activity is unknown for a large spectrum of microorganisms. Here, we propose a scheme to speed up the design and op...

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Bibliographic Details
Main Authors: Heesoo Park, El Tayeb Bentria, Sami Rtimi, Abdelilah Arredouani, Halima Bensmail, Fedwa El-Mellouhi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Catalysts
Subjects:
photocatalytic systems
reactive oxygen species
illumination
predictive activity
machine learning
Online Access:https://www.mdpi.com/2073-4344/11/8/1001

Internet

https://www.mdpi.com/2073-4344/11/8/1001

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