Work

Integrating artificial intelligence with kinetic studies for Cr( vi ) removal using young durian fruit biochar: a random forest regressor approach

Year: 2025

Type: article

Abstract: = 0.994, significantly outperforming conventional kinetic models and enabling robust forecasting under untested scenarios, thereby bridging the gap between mechanistic modeling and AI-enhanced environmental applications. The results confirm that the AI-based model not only reduces the experimental workload but also offers strong generalizability and interpretability for kinetic behavior analysis. This integration of AI and environmental chemistry provides a powerful tool for developing cost-effective and sustainable water treatment systems using bio-based materials.

Source: RSC Advances

DOI: 10.1039/d5ra05229g

Authors: Duy-Khoi Nguyen, Quang-Thanh Nguyen, Van-Phuc Dinh

Institution: Trường ĐH Nguyễn Tất Thành

Language: English

Topic: Adsorption and biosorption for pollutant removal

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Responsible consumption and production

Open Access status: gold

Estimated APC paid: $1,042