Prediction and evaluation of plasma arc reforming of naphthalene using a hybrid machine learning model-Reference-Cited by-同舟云学术

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Prediction and evaluation of plasma arc reforming of naphthalene using a hybrid machine learning model

Published:2021-02 Issue: Volume:404 Page:123965
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Wang Yaolin,Liao Zinan,Mathieu Stéphanie,Bin Feng,Tu Xin

Funder

European Union’s Horizon 2020 research and innovation programme

Royal Society - Newton Advanced Fellowship

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference44 articles.

1. The 2020 plasma catalysis roadmap;Bogaerts;J. Phys. D Appl. Phys.,2020

2. A review of non-thermal plasma technology: a novel solution for CO2 conversion and utilization;George;Renew. Sustain. Energy Rev.,2021

3. Reforming of tar from biomass gasification in a hybrid catalysis-plasma system: a review;Liu;Appl. Catal. B Environ.,2019

4. Steam reforming of toluene as biomass tar model compound in a gliding arc discharge reactor;Liu;Chem. Eng. J.,2017

5. Plasma reforming of naphthalene as a tar model compound of biomass gasification;Wang;Energy Convers. Manag.,2019

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