Machine Learning-Accelerated Disentanglement of Activity–Selectivity Trade-off of Multielement Oxide Denitration Catalysts-Reference-Cited by-同舟云学术

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Machine Learning-Accelerated Disentanglement of Activity–Selectivity Trade-off of Multielement Oxide Denitration Catalysts

Published:2024-02-08 Issue:6 Volume:4 Page:1312-1320
ISSN:2690-0645
Container-title:ACS ES&T Engineering
language:en
Short-container-title:ACS EST Eng.

Author:

Dong Yi¹,Ran Mingchu¹,Zhang Xiao¹²^ORCID,Lin Saisai¹,Zhao Haitao¹,Yang Yang¹²,Liu Shaojun¹^ORCID,Zheng Chenghang¹²^ORCID,Gao Xiang¹^ORCID

Affiliation:

1. State Key Laboratory of Clean Energy Utilization, State Environmental Protection-Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, P. R. China

2. Jiaxing Research Institute, Zhejiang University, Jiaxing 314000, P. R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Research Institute of Development Strategy, Zhejiang University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestengg.3c00617

Reference56 articles.

1. Enhanced Photocatalytic VOCs Mineralization via Special Ga-O-H Charge Transfer Channel in α-Ga2O3/MgAl-LDH Heterojunction

2. Disentangling the activity-selectivity trade-off in catalytic conversion of syngas to light olefins

3. Chemoselective Hydrogenation of Nitro Compounds by MoS₂ via Introduction of Independent Active Hydrogen-Donating Sites

4. Breaking the Activity-Selectivity Trade-Off of Pt Nanoparticles Encapsulated in UiO-66 for Hydrogenation by Constructing Suitable Hierarchical Structure

5. Dual Microenvironment Modulation of Pd Nanoparticles in Covalent Organic Frameworks for Semihydrogenation of Alkynes

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