Investigation of Advanced Oxidation Process in the Presence of TiO2 Semiconductor as Photocatalyst: Property, Principle, Kinetic Analysis, and Photocatalytic Activity

AH Navidpour, S Abbasi, D Li, A Mojiri, JL Zhou - Catalysts, 2023 - mdpi.com
Water pollution is considered a serious threat to human life. An advanced oxidation process
in the presence of semiconductor photocatalysts is a popular method for the effective …

Removal and recovery of aqueous U (VI) by heterogeneous photocatalysis: Progress and challenges

Y Ye, J Jin, F Chen, DD Dionysiou, Y Feng… - Chemical Engineering …, 2022 - Elsevier
With the rapidly expanding implementations of nuclear power technology, the contamination
of the aquatic environment by uranium is a rising environmental problem. Photocatalytic …

Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials

ZH Jaffari, H Jeong, J Shin, J Kwak, C Son… - Chemical Engineering …, 2023 - Elsevier
Biochar materials have recently received considerable recognition as eco-friendly and cost-
effective adsorbents capable of effectively removing hazardous emerging contaminants (eg …

Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green

ZH Jaffari, A Abbas, SM Lam, S Park, K Chon… - Journal of hazardous …, 2023 - Elsevier
This study focuses on the potential capability of numerous machine learning models, namely
CatBoost, GradientBoosting, HistGradientBoosting, ExtraTrees, XGBoost, DecisionTree …

Estimation of soil organic carbon content in coastal wetlands with measured VIS-NIR spectroscopy using optimized support vector machines and random forests

J Song, J Gao, Y Zhang, F Li, W Man, M Liu, J Wang… - Remote Sensing, 2022 - mdpi.com
Coastal wetland soil organic carbon (CW-SOC) is crucial for both “blue carbon” and carbon
sequestration. It is of great significance to understand the content of soil organic carbon …

Key factors in improving the synthesis and properties of visible-light activated gC3N4 for photocatalytic hydrogen production and organic pollutant decomposition

AH Navidpour, D Hao, X Li, D Li, Z Huang… - Catalysis …, 2023 - Taylor & Francis
Of current interest is visible-light activated g-C3N4, owing to its unique physicochemical
properties for the photocatalytic H2 production and pollutant remediation. In this research …

Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: paradigms, applications and prospects

W Zhang, W Huang, J Tan, Q Guo, B Wu - Chemosphere, 2022 - Elsevier
Energy crisis and environmental pollution have become the bottleneck of human
sustainable development. Therefore, there is an urgent need to develop new catalysts for …

Machine learning integrated photocatalysis: progress and challenges

L Ge, Y Ke, X Li - Chemical Communications, 2023 - pubs.rsc.org
Discovering efficient photocatalysts has long been the goal of photocatalysis, which has
traditionally been driven by serendipitous or try-and-error strategies. Recent developments …

Ultrahigh-porosity Ranunculus-like MgO adsorbent coupled with predictive deep belief networks: A transformative method for phosphorus treatment

DA Nguyen, VB Nguyen, A Jang - Water Research, 2024 - Elsevier
Phosphorus is a nonrenewable material with a finite supply on Earth; however, due to the
rapid growth of the manufacturing industry, phosphorus contamination has become a global …

Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources

A Hosseinzadeh, A Altaee, X Li, JL Zhou - Current Opinion in Chemical …, 2023 - Elsevier
Highlights•ML models were reviewed for PFAS control in water resources.•Over 70% of the
studies have shown prediction strength of> 80%.•Gaps and opportunities in ML application …