The DOI matches its Crossref record.
Nonadiabatic Car-Parrinello Molecular Dynamics
Abstract
An extension of Car-Parrinello (CP) molecular dynamics for efficient treatment of electronically nonadiabatic processes is presented. The current approach couples the S1 restricted open-shell Kohn-Sham excited state to the S0 ground state using a surface hopping scheme. Efficient evaluation of the nonadiabatic couplings is achieved by exploiting the available wave function time derivatives. Since the computational cost scales linearly with the number of excited states, the technique makes possible nonadiabatic ab initio simulations of systems of similar complexity to those typically studied by standard CP methods. It is thus ideally suited to study the photochemistry of large molecules, particularly in condensed phases.
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
Proton Transfer 200 Years after von Grotthuss: Insights from Ab Initio Simulations
Marx, D. (2006) · ChemPhysChem · doi:10.1002/cphc.200600128 · Cited by 920
Self-citationIsomerization Through Conical Intersections
Levine, B. G., & Martínez, T. J. (2007) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.57.032905.104612 · Cited by 873
Recent Advances and Perspectives on Nonadiabatic Mixed Quantum–Classical Dynamics
Crespo-Otero, R., & Barbatti, M. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00577 · Cited by 733
Akimov, A. V., & Prezhdo, O. V. (2014) · Journal of Chemical Theory and Computation · doi:10.1021/ct400934c · Cited by 608
Brunk, E., & Rothlisberger, U. (2015) · Chemical Reviews · doi:10.1021/cr500628b · Cited by 494
Metadata
- Authors
- Doltsinis, N. L., & Marx, D.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2002-04-03
- Volume
- 88
- Issue
- 16
- Pages
- 166402-166402
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2052997849
- Cited by
- 238
- References
- 0
- FWCI
- 6.49
- 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: Nonadiabatic Car-Parrinello Molecular Dynamics. https://app.cochat.ai/papers/10.1103/physrevlett.88.166402
- The paper
- Doltsinis, N. L., & Marx, D. (2002). Nonadiabatic Car-Parrinello Molecular Dynamics. Physical Review Letters. https://doi.org/10.1103/physrevlett.88.166402
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.