The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Trends in Formic Acid Decomposition on Model Transition Metal Surfaces: A Density Functional Theory study
Abstract
We present a first-principles, self-consistent periodic density functional theory (PW91-GGA) study of formic acid (HCOOH) decomposition on model (111) and (100) facets of eight fcc metals (Au, Ag, Cu, Pt, Pd, Ni, Ir, and Rh) and (0001) facets of four hcp (Co, Os, Ru, and Re) metals. The calculated binding energies of key formic acid decomposition intermediates including formate (HCOO), carboxyl (COOH), carbon monoxide (CO), water (H 2 O), carbon dioxide (CO 2 ), hydroxyl (OH), carbon (C), oxygen (O), and hydrogen (H; H 2 ) are presented. Using these energetics, we develop thermochemical potential energy diagrams for both the carboxyl-mediated and the formate-mediated dehydrogenation mechanisms on each surface. We evaluate the relative stability of COOH, HCOO, and other isomeric intermediates (i.e., CO + OH, CO 2 + H, CO + O + H) on these surfaces. These results provide insights into formic acid decomposition selectivity (dehydrogenation versus dehydration), and in conjunction with calculated vibrational frequency modes, the results can assist with the experimental search for the elusive carboxyl (COOH) surface intermediate. Results are compared against experimental reports in the literature.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bozell, J. J., & Petersen, G. R. (2010) · Green Chemistry · doi:10.1039/b922014c · Cited by 4,566
Cited by
Single-atom Rh/N-doped carbon electrocatalyst for formic acid oxidation
Xiong, Y., Dong, J., Huang, Z.-Q., Xin, P., Chen, W., Wang, Y., Li, Z., Jin, Z., Xing, W., Zhuang, Z., et al. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0665-x · Cited by 610
Microkinetic Modeling: A Tool for Rational Catalyst Design
Motagamwala, A. H., & Dumesic, J. A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00394 · Cited by 485
Theoretical Heterogeneous Catalysis: Scaling Relationships and Computational Catalyst Design
Greeley, J. (2016) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-080615-034413 · Cited by 409
Bulushev, D. A., Zacharska, M., Shlyakhova, E. V., Chuvilin, A. L., Guo, Y., Beloshapkin, S., Okotrub, A. V., & Bulusheva, L. G. (2016) · ACS Catalysis · doi:10.1021/acscatal.5b02381 · Cited by 293
Formic Acid-Based Liquid Organic Hydrogen Carrier System with Heterogeneous Catalysts
Zhong, H., Iguchi, M., Chatterjee, M., Himeda, Y., Xu, Q., & Kawanami, H. (2018) · Advanced Sustainable Systems · doi:10.1002/adsu.201700161 · Cited by 209
Shi, Y., Schimmenti, R., Zhu, S., Venkatraman, K., Chen, R., Chi, M., Shao, M., Mavrikakis, M., & Xia, Y. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.1c10199 · Cited by 100
Self-citationEnhancing H2 evolution by optimizing H adatom combination and desorption over Pd nanocatalyst
Wang, J., Tan, H., Jiang, D., & Zhou, K. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.02.001 · Cited by 54
Metadata
- Authors
- Herron, J. A., Scaranto, J., Ferrin, P., Li, S., & Mavrikakis, M.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-11-10
- Volume
- 4
- Issue
- 12
- Pages
- 4434-4445
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W1978869288
- Cited by
- 231
- References
- 1
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.