Accessing and predicting the kinetic profiles of homogeneous catalysts from volcano plots-Reference-Cited by-同舟云学术

Accessing and predicting the kinetic profiles of homogeneous catalysts from volcano plots

Published:2016 Issue:9 Volume:7 Page:5723-5735
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Wodrich Matthew D.¹²³⁴⁵,Busch Michael⁶⁷⁸⁹⁵,Corminboeuf Clémence¹²³⁴⁵

Affiliation:

1. Laboratory for Computational Molecular Design

2. Institute of Chemical Sciences and Engineering

3. Ecole Polytechnique Fédérale de Lausanne (EPFL)

4. CH-1015 Lausanne

5. Switzerland

6. Laboratory for Computational Molecular Design (LCMD) and National Center for Computational Design and Discovery of Novel Materials (MARVEL)

7. École Polytechnique Fédérale de Lausanne

8. Station 12

9. 1015 Lausanne

Abstract

Volcano plots, which generally describe only thermodynamics, are expanded to include kinetics that markedly influence the performance of homogeneous catalysts.

Funder

Swiss National Science Foundation

École Polytechnique Fédérale de Lausanne

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/SC/C6SC01660J

Reference78 articles.

1. Mechanismus der Elektrolytischen Wasserstoffabscheidung und Adsorptionsenergie von Atomarem Wasserstoff

2. The rate of electrolytic hydrogen evolution and the heat of adsorption of hydrogen

3. P. Sabatier , La Catalyse en Chimie Organique, Librarie Polytechnique, Paris, 1913

4. Towards the computational design of solid catalysts

5. The Mechanism of Water Oxidation: From Electrolysis via Homogeneous to Biological Catalysis

Cited by 69 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. Transferring hydroformylation reaction into high-pressure gas–liquid microfluidic systems: Key achievements and perspectives;Journal of Industrial and Engineering Chemistry;2024-08

2. Microkinetic Molecular Volcano Plots for Enhanced Catalyst Selectivity and Activity Predictions;ACS Catalysis;2024-06-17

3. Learning Design Rules for Catalysts Through Computational Chemistry and Machine Learning;Exploring Chemical Concepts Through Theory and Computation;2024-05-17

4. Large-scale comparison of Fe and Ru polyolefin C–H activation catalysts;Journal of Catalysis;2024-03

5. Rationalizing the Influence of the Binding Affinity on the Activity of Phosphoserine Phosphatases;Angewandte Chemie International Edition;2024-02-26