The DOI matches its Crossref record.
Accelerated Luminophore Discovery through Combinatorial Synthesis
Abstract
A method for accelerating the discovery of ionic luminophores using combinatorial techniques is reported. The photophysical properties of the resulting transition-metal-based chromophores were compared against a series of analogous, traditionally prepared species. The strong overlap between these two sets confirms the identity of the parallel synthesis products and supports the truthfulness of the combinatorial results. Further support for the combinatorial method comes from the adherence of these complexes to the energy gap law. The relationship between the structure of a complex and its photophysical properties was also considered, and static DFT calculations were used to assess whether it is feasible to predict the luminescent behavior of novel materials.
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
Lowry, M. S., & Bernhard, S. (2006) · Chemistry – A European Journal · doi:10.1002/chem.200600618 · Cited by 757
Self-citationRecent Developments in the Application of Phosphorescent Iridium(III) Complex Systems
Ulbricht, C., Beyer, B., Friebe, C., Winter, A., & Schubert, U. S. (2009) · Advanced Materials · doi:10.1002/adma.200803537 · Cited by 746
Teegardin, K., Day, J. I., Chan, J., & Weaver, J. (2016) · Organic Process Research & Development · doi:10.1021/acs.oprd.6b00101 · Cited by 593
Wong, W.-Y., & Ho, C.-L. (2009) · Journal of Materials Chemistry · doi:10.1039/b819943d · Cited by 521
Tay, N. E. S., Lehnherr, D., & Rovis, T. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00384 · Cited by 518
Metadata
- Authors
- Lowry, M. S., Hudson, W. R., Pascal, R. A., & Bernhard, S.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-10-08
- Volume
- 126
- Issue
- 43
- Pages
- 14129-14135
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2075176849
- Cited by
- 491
- References
- 0
- FWCI
- 6.46
- 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: Accelerated Luminophore Discovery through Combinatorial Synthesis. https://app.cochat.ai/papers/10.1021/ja047156+
- The paper
- Lowry, M. S., Hudson, W. R., Pascal, R. A., & Bernhard, S. (2004). Accelerated Luminophore Discovery through Combinatorial Synthesis. Journal of the American Chemical Society. https://doi.org/10.1021/ja047156%2B
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.