Designing a Rh-based bimetallic catalyst for heterogeneous ethylene hydroformylation: combining theoretical predictions and experimental screening

Designing a Rh-based bimetallic catalyst for ethylene hydroformylation via prediction by descriptors and considerations on alloying tendency and feasibility.

Authors

Institutions

Publication Details

Journal
Catalysis Science & Technology
Published
2024-12-23
DOI
https://doi.org/10.1039/d4cy00959b
Citations
1
Primary Topic
Organometallic Complex Synthesis and Catalysis
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing a Rh-based bimetallic catalyst for heterogeneous ethylene hydroformylation: combining theoretical predictions and experimental screening

Xiaodong Wu, Tiefeng Wang, Xiaocheng Lan, Letong Yang et al.
1 citations
Catalysis Science & Technology
Organometallic Complex Synthesis and Catalysis
0.25
article

Designing a Rh-based bimetallic catalyst for heterogeneous ethylene hydroformylation: combining theoretical predictions and experimental screening

Xiaodong Wu, Tiefeng Wang, Xiaocheng Lan, Letong Yang, Ning Huang, Boyang Liu, Yue Ma
article en
1 citations

Abstract

Designing a Rh-based bimetallic catalyst for ethylene hydroformylation via prediction by descriptors and considerations on alloying tendency and feasibility.

Catalysis Science & TechnologyVol. 15(4)
Sinopec (China) (CN), Nanjing University of Science and Technology (CN), Technical University of Munich (DE), Tsinghua University (CN)
Openalex Percentile: Top 45%
Organometallic Complex Synthesis and Catalysis
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.