The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Molecules-in-Molecules: An Extrapolated Fragment-Based Approach for Accurate Calculations on Large Molecules and Materials
Abstract
We present a new extrapolated fragment-based approach, termed molecules-in-molecules (MIM), for accurate energy calculations on large molecules. In this method, we use a multilevel partitioning approach coupled with electronic structure studies at multiple levels of theory to provide a hierarchical strategy for systematically improving the computed results. In particular, we use a generalized hybrid energy expression, similar in spirit to that in the popular ONIOM methodology, that can be combined easily with any fragmentation procedure. In the current work, we explore a MIM scheme which first partitions a molecule into nonoverlapping fragments and then recombines the interacting fragments to form overlapping subsystems. By including all interactions with a cheaper level of theory, the MIM approach is shown to significantly reduce the errors arising from a single level fragmentation procedure. We report the implementation of energies and gradients and the initial assessment of the MIM method using both biological and materials systems as test cases.
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
Kowalski, K., & Piecuch, P. (2000) · The Journal of Chemical Physics · doi:10.1063/1.481769 · Cited by 440
Cited by
Kruse, H., & Grimme, S. (2012) · The Journal of Chemical Physics · doi:10.1063/1.3700154 · Cited by 890
Computational electrochemistry: prediction of liquid-phase reduction potentials
Marenich, A. V., Ho, J., Coote, M. L., Cramer, C. J., & Truhlar, D. G. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp01572j · Cited by 508
Computational molecular spectroscopy
Barone, V., Alessandrini, S., Biczysko, M., Cheeseman, J. R., Clary, D. C., McCoy, A. B., DiRisio, R. J., Neese, F., Melosso, M., & Puzzarini, C. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00034-1 · Cited by 422
Quantum-Chemical Characterization of the Properties and Reactivities of Metal–Organic Frameworks
Odoh, S. O., Cramer, C. J., Truhlar, D. G., & Gagliardi, L. (2015) · Chemical Reviews · doi:10.1021/cr500551h · Cited by 306
Electron-correlated fragment-molecular-orbital calculations for biomolecular and nano systems
Tanaka, S., Mochizuki, Y., Komeiji, Y., Okiyama, Y., & Fukuzawa, K. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp00316k · Cited by 301
Metadata
- Authors
- Mayhall, N. J., & Raghavachari, K.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-04-05
- Volume
- 7
- Issue
- 5
- Pages
- 1336-1343
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2335367147
- Cited by
- 209
- References
- 1
- FWCI
- 8.69
- 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.