The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Chemically Meaningful Atomic Charges That Reproduce the Electrostatic Potential in Periodic and Nonperiodic Materials
Abstract
Net atomic charges (NACs) can be used both to understand the chemical states of atoms in a material as well as to represent the electrostatic potential, V, of the material outside its electron distribution. However, many existing definitions of NACs have limitations that prevent them from adequately fulfilling this dual purpose. Some charge methods are not applicable to periodic materials or are inaccurate for systems containing buried atoms, while others work for both periodic and nonperiodic materials containing buried atoms but give NACS that do not accurately reproduce V. We present a new approach, density derived electrostatic and chemical (DDEC) charges, that overcomes these limitations by simultaneously optimizing the NACs to be chemically meaningful and to reproduce V outside the electron distribution. This atoms-in-molecule method partitions the total electron density among atoms and uses a distributed multipole expansion to formally reproduce V exactly outside the electron distribution. We compare different methods for computing NACs for a broad range of materials that are periodic in zero, one, two, and three dimensions. The DDEC method consistently performs well for systems with and without buried atoms, including molecules, nonporous solids, solid surfaces, and porous solids like metal organic frameworks.
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
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
A fast and robust algorithm for Bader decomposition of charge density
Henkelman, G., Arnaldsson, A., & Jónsson, H. (2006) · Computational Materials Science · doi:10.1016/j.commatsci.2005.04.010 · Cited by 10,723
Cited by
Efficient evaluation of electrostatic potential with computerized optimized code
Zhang, J., & Lu, T. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp02805g · Cited by 2,635
CO2 Capture and Separations Using MOFs: Computational and Experimental Studies
Yu, J., Xie, L.-H., Li, J.-R., Ma, Y., Seminario, J. M., & Balbuena, P. B. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00626 · Cited by 1,047
Structure–property relationships of porous materials for carbon dioxide separation and capture
Wilmer, C. E., Farha, O. K., Bae, Y.-S., Hupp, J. T., & Snurr, R. Q. (2012) · Energy & Environmental Science · doi:10.1039/c2ee23201d · Cited by 388
Probing Structural Defects in MOFs Using Water Stability
Jamdade, S., Yu, Z., Boulfelfel, S. E., Cai, X., Thyagarajan, R., Fang, H., & Sholl, D. S. (2024) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.3c07497 · Cited by 34
“23 For defect structure geometry optimization the cell shape and cell volume were kept fixed and the same functional and other computational details were used as those mentioned for the previous DFT calculations.”
MethodSelf-citationPerformance-Based Screening of Porous Materials for Carbon Capture
Farmahini, A. H., Krishnamurthy, S., Friedrich, D., Brandani, S., & Sarkisov, L. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01266 · Cited by 7
Metadata
- Authors
- Manz, T. A., & Sholl, D. S.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-15
- Volume
- 6
- Issue
- 8
- Pages
- 2455-2468
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2008978792
- Cited by
- 467
- References
- 3
- FWCI
- 7.07
- 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.