Artificial intelligence interventions in 2D MXenes-based photocatalytic applications

Coordination Chemistry Reviews, Год журнала: 2025, Номер 529, С. 216460 - 216460

Опубликована: Янв. 24, 2025

Язык: Английский

Utilizing Artificial Intelligence and Machine Learning for Enhanced Recycling Efforts

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 65 - 82

Опубликована: Янв. 16, 2025

One industry that has benefitted largely from the integration of Artificial Intelligence (AI) and machine learning (ML) in its processes is recycling, providing significant advancements waste management towards sustainability environmental conservation. This chapter highlights application AI ML various streams (plastic, electronic food, paper, textile, metal etc. wastage). These systems use AI-powered image recognition sorting to better separate materials, helping increasing efficiency chemical recycling technologies; meanwhile algorithms enable cleaner for handling chemicals material recovery. Increased precision removal valuable components via automated disassembly predictive analytics. Using helped increase operational efficiency, resources recovery but also shown clear contributions environment overall ensure sustainable future ahead.

Язык: Английский

Application of machine learning based high-throughput analysis for predicting the degradation performance of TiO2 doped photocatalysts in air pollutants

Materials Today Communications, Год журнала: 2024, Номер unknown, С. 111163 - 111163

Опубликована: Ноя. 1, 2024

Язык: Английский