Machine learning-guided optimization and explainable AI interpretation of nanoparticle catalysts for p-nitrophenol reduction
Open Access
- 11 September 2026
- journal article
- Published by Elsevier in Cleaner Engineering and Technology
- Vol. 34
Abstract
No abstract availableFunding Information
- Manipal Academy of Higher Education (Dr. TMA Pai Research Scholarship)
This publication has 22 references indexed in Scilit:
- Catalytic Activity of Cu‐MOF Catalyst for 4‐Nitrophenol ReductionChemistry – An Asian Journal, 2025
- Optimizing warpage in semiconductor packaging using GA-NN and conditional GAN with explainable AIComputers & Industrial Engineering, 2025
- Multiplicative rGO/Cu-BDC MOF for 4-nitrophenol reduction and supercapacitor applicationsJournal of Colloid and Interface Science, 2024
- Pd-Co bimetallic nanoparticles modified α-FeOOH nanorod for the catalytic reduction of organic pollutantsJournal of Environmental Chemical Engineering, 2024
- Facile synthesis of multitasking composite of Silver nanoparticle with Zinc oxide for 4-nitrophenol reduction, photocatalytic hydrogen production, and 4-chlorophenol degradationJournal of Alloys and Compounds, 2022
- Nanoflakes-like nickel cobaltite as active electrode material for 4-nitrophenol reduction and supercapacitor applicationsJournal of Hazardous Materials, 2021
- CuAg and AuAg bimetallic nanoparticles for catalytic and heat transfer applicationsClean Technologies and Environmental Policy, 2021
- Synthesis of monodisperse spherical AgNPs by ultrasound-intensified Lee-Meisel method, and quick evaluation via machine learningUltrasonics Sonochemistry, 2021
- Synthetic organic dyes as contaminants of the aquatic environment and their implications for ecosystems: A reviewScience of The Total Environment, 2020
- Catalytic reduction of p-nitrophenol by using platinum nanoparticles stabilised by guar gumCarbohydrate Polymers, 2014