Leveraging machine learning for predicting the photocatalytic performance of a g-C3N4/CdS/MoS2-based heterostructure nanocomposite DOI
Preeti Kumari, Chandni Devi, Mukesh Kumar

и другие.

New Journal of Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

In this work, the g-C 3 N 4 /CdS/MoS 2 heterojunction photocatalyst exhibits a degradation efficiency of 86% under sunlight. The was validated and predicted through four different ML models.

Язык: Английский

Machine learning-driven optimization and compositional experimental validation of polythiophene/graphene nanoplatelet nanocomposite for symmetric supercapacitor DOI

Mashqoor Alam,

Samina Husain

Composites Communications, Год журнала: 2025, Номер unknown, С. 102458 - 102458

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Synthesis, characterization, and photocatalytic degradation of methylene blue dye using Bi2S3/WS2/gC3N4-based heterojunction nanocomposite DOI

Priyanka Jangra,

Preeti Kumari, S. K. Sharma

и другие.

Materials Science in Semiconductor Processing, Год журнала: 2025, Номер 197, С. 109710 - 109710

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0
Review on Carbon Nanostructures for Supercapacitors: Cutting-Edge Energy Storage Applications and Perspectives DOI

Sasmita Mishra,

Lingaraj Pradhan, Bikash Kumar Jena

и другие.

Energy & Fuels, Год журнала: 2025, Номер unknown

Опубликована: Май 29, 2025

Язык: Английский

Процитировано

0
Leveraging machine learning for predicting the photocatalytic performance of a g-C3N4/CdS/MoS2-based heterostructure nanocomposite DOI
Preeti Kumari, Chandni Devi, Mukesh Kumar

и другие.

New Journal of Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

In this work, the g-C 3 N 4 /CdS/MoS 2 heterojunction photocatalyst exhibits a degradation efficiency of 86% under sunlight. The was validated and predicted through four different ML models.

Язык: Английский

Процитировано

0