Data for: Catalytic Resonance Theory: Negative Dynamic Surfaces for Programmable Catalysts
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2020-05
2021-06
2021-06
Date completed
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Data for: Catalytic Resonance Theory: Negative Dynamic Surfaces for Programmable Catalysts
Published Date
2021-08-14
Group
Author Contact
Dauenhauer, Paul J
hauer@umn.edu
hauer@umn.edu
Type
Dataset
Programming Software Code
Simulation Data
Programming Software Code
Simulation Data
Abstract
Catalysts that change with time via programmed variation of their electronic occupation to accelerate surface reactions were evaluated in the case of negative adsorption energy scaling relations. Defined as the relative change in adsorption enthalpy, the gamma linear scaling parameter is negative when two adsorbates alternatively weaken and strengthen as catalysts are electronically perturbed. Simulations were conducted of a single transition state connecting two generic adsorbates representative of multiple reaction classes to understand the resulting negative gamma catalytic ratchet mechanism and its ability to accelerate catalytic reactions above the Sabatier peak and away from equilibrium. Relative to conventional positive gamma catalytic ratchets, the Sabatier volcanoes of negative gamma catalysis are narrower with greater enhancement of dynamic turnover frequency when catalysts are electronically oscillated. Promotion of the catalytic surface reaction forwards or backwards was predictable by a descriptor accounting for the relative rates of forward and reverse kinetics under oscillatory conditions.
Description
This repository contains:
1. Data tables corresponding to figures 4 - 10 in the manuscript
2. Matlab code to simulate (1) static volcano, (2) dynamic CSTR, (3) dynamic batch reactor
3. Archival versions of data tables corresponding to figures 4 - 10
Referenced by
Gathmann, S., Ardagh, M. A., & Dauenhauer, P. (2021). Catalytic Resonance Theory: Negative Dynamic Surfaces for Programmable Catalysts. 10.33774/chemrxiv-2021-swdld
https://chemrxiv.org/engage/chemrxiv/article-details/611998c645805d91c388506c
https://chemrxiv.org/engage/chemrxiv/article-details/611998c645805d91c388506c
Related to
Replaces
item.page.isreplacedby
Publisher
Collections
Funding information
National Science Foundation Graduate Research Fellowship
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested citation
Gathmann, Sallye R; Ardagh, M Alexander; Dauenhauer, Paul J. (2021). Data for: Catalytic Resonance Theory: Negative Dynamic Surfaces for Programmable Catalysts. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/vwy0-gs56.
View/Download File
File View/Open
Description
Size
ReadMe.txt
Description of data
(3.91 KB)
Figure_4.xlsx
Data for Figure 4 - Supervolcano and DRC Analysis
(1.08 MB)
Figure_5-6.xlsx
Data for Figure 5 and 6 - Dynamic CSTR, gamma of -2 case study
(126.92 KB)
Figure_7a-c.xlsx
Data for Figure 7a-c - Dynamic CSTR, varied waveform center point
(38.88 KB)
Figure_7d-e.xlsx
Data for Figure 7d-e - Dynamic CSTR, varied gamma value
(28.16 KB)
Figure_8.xlsx
Data for Figure 8 - Dynamic BR, varied feed composition
(14.92 MB)
Figure_9-10.xlsx
Data for Figure 9 and 10 - Dynamic BR Directionality Analysis
(236.36 KB)
simulate_volcano_plot.m
Matlab code to simulate a volcano plot (static catalysts)
(5.52 KB)
simulate_dynamic_CSTR.m
Matlab code to simulate a dynamic CSTR
(10.75 KB)
simulate_dynamic_BR.m
Matlab code to simulate a dynamic batch reactor
(9.08 KB)
Archive.zip
Archival version of data (.csv) 93 files
(104.17 MB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.