The DOI matches its Crossref record.
Coarse-grained molecular dynamics and the atomic limit of finite elements
Abstract
We develop a technique for simulation of the mechanics of micron-scale solid systems: coarse-grained molecular dynamics (CGMD). It captures the important atomistic effects without the computational cost of conventional molecular dynamics (MD). The CGMD equations of motion are derived directly from finite temperature MD through a statistical coarse graining procedure, so they agree with MD as the mesh size is reduced to the atomic scale. This allows a seamless coupling of length scales. The use of efficient CGMD in peripheral regions extends atomistic simulation to much larger systems than amenable to MD alone.
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
Cited by
A bridging domain method for coupling continua with molecular dynamics
Xiao, S. P., & Belytschko, T. (2004) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2003.12.053 · Cited by 779
Spectrin-Level Modeling of the Cytoskeleton and Optical Tweezers Stretching of the Erythrocyte
Li, J., Dao, M., Lim, C. T., & Suresh, S. (2005) · Biophysical Journal · doi:10.1529/biophysj.104.047332 · Cited by 426
Zhigilei, L. V., & Garrison, B. J. (2000) · Journal of Applied Physics · doi:10.1063/1.373816 · Cited by 425
Extracting macroscopic dynamics: model problems and algorithms
Givon, D., Kupferman, R., & Stuart, A. (2004) · Nonlinearity · doi:10.1088/0951-7715/17/6/r01 · Cited by 363
Mobile Ions in Composite Solids
Zou, Z., Li, Y., Lu, Z., Wang, D., Cui, Y., Guo, B., Li, Y., Liang, X., Feng, J., Li, H., et al. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00760 · Cited by 348
Metadata
- Authors
- Rudd, R. E., & Broughton, J. Q.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 1998-09-01
- Volume
- 58
- Issue
- 10
- Pages
- R5893-R5896
- ISSN
- 0163-1829 (ISSN-L)
- 1095-3795
- OpenAlex
- W1981210409
- Cited by
- 473
- References
- 0
- FWCI
- 6.36
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coarse-grained molecular dynamics and the atomic limit of finite elements. https://app.cochat.ai/papers/10.1103/physrevb.58.r5893
- The paper
- Rudd, R. E., & Broughton, J. Q. (1998). Coarse-grained molecular dynamics and the atomic limit of finite elements. Physical Review B. https://doi.org/10.1103/physrevb.58.r5893
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.