Data-Driven Inference of Synthesis Guidelines for High-Performance Zeolite-Based Selective Catalytic Reduction Catalysts at Low Temperatures-Reference-Cited by-同舟云学术

Data-Driven Inference of Synthesis Guidelines for High-Performance Zeolite-Based Selective Catalytic Reduction Catalysts at Low Temperatures

Published:2022-08-29 Issue:17 Volume:34 Page:7761-7773
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Bae Shinyoung¹,Lee Hwangho¹,Shin Junseop¹,Kim Hyun Sub¹,Kim Yeonsoo²,Kim Do Heui¹^ORCID,Lee Jong Min¹^ORCID

Affiliation:

1. School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea

2. Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.2c01092

Reference99 articles.

1. Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets

2. NOx Emission from Diesel Vehicle with SCR System Failure Characterized Using Portable Emissions Measurement Systems

3. Machine Learning Applied to the NOx Prediction of Diesel Vehicle under Real Driving Cycle

4. Characteristics of NOx emission of light-duty diesel vehicle with LNT and SCR system by season and RDE phase

5. Urea-SCR in Automotive Applications

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning assisted prediction of copper-based catalysts towards carbon dioxide electroreduction into carbon monoxide;Chemical Physics;2024-03

2. Prediction and interpretation of photocatalytic NO removal on g-C3N4-based catalysts using machine learning;Chinese Chemical Letters;2024-02

3. Machine-learning-guided prediction of Cu-based electrocatalysts towards ethylene production in CO2 reduction;Molecular Catalysis;2023-08

4. A Route Map of Machine Learning Approaches in Heterogeneous CO₂ Reduction Reaction;The Journal of Physical Chemistry C;2023-01-05