The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A self-driving laboratory advances the Pareto front for material properties
Open accessAbstract
Useful materials must satisfy multiple objectives, where the optimization of one objective is often at the expense of another. The Pareto front reports the optimal trade-offs between these conflicting objectives. Here we use a self-driving laboratory, Ada, to define the Pareto front of conductivities and processing temperatures for palladium films formed by combustion synthesis. Ada discovers new synthesis conditions that yield metallic films at lower processing temperatures (below 200 °C) relative to the prior art for this technique (250 °C). This temperature difference makes possible the coating of different commodity plastic materials (e.g., Nafion, polyethersulfone). These combustion synthesis conditions enable us to to spray coat uniform palladium films with moderate conductivity (1.1 × 10 5 S m−1) at 191 °C. Spray coating at 226 °C yields films with conductivities (2.0 × 10 6 S m−1) comparable to those of sputtered films (2.0 to 5.8 × 10 6 S m−1). This work shows how a self-driving laboratoy can discover materials that provide optimal trade-offs between conflicting objectives.
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
Burger, B., Maffettone, P. M., Gusev, V. V., Aitchison, C. M., Bai, Y., Wang, X., Li, X., Alston, B. M., Li, B., Clowes, R., et al. (2020) · Nature · doi:10.1038/s41586-020-2442-2 · Cited by 1,516
Next-Generation Experimentation with Self-Driving Laboratories
Häse, F., Roch, L. M., & Aspuru-Guzik, A. (2019) · Trends in Chemistry · doi:10.1016/j.trechm.2019.02.007 · Cited by 426
A curious formulation robot enables the discovery of a novel protocell behavior
Grizou, J., Points, L. J., Sharma, A., & Cronin, L. (2020) · Science Advances · doi:10.1126/sciadv.aay4237 · Cited by 77
Cited by
Self-Driving Laboratories for Chemistry and Materials Science
Tom, G., Schmid, S. P., Baird, S. G., Cao, Y., Darvish, K., Hao, H., Lo, S., Pablo-García, S., Rajaonson, E. M., Skreta, M., et al. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00055 · Cited by 707
Generative Models as an Emerging Paradigm in the Chemical Sciences
Anstine, D. M., & Isayev, O. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.2c13467 · Cited by 313
Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab
Seifrid, M., Pollice, R., Aguilar-Granda, A., Morgan Chan, Z., Hotta, K., Ser, C. T., Vestfrid, J., Wu, T. C., & Aspuru-Guzik, A. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.2c00220 · Cited by 294
The future of self-driving laboratories: from human in the loop interactive AI to gamification
Hysmith, H., Foadian, E., Padhy, S. P., Kalinin, S. V., Moore, R. G., Ovchinnikova, O. S., & Ahmadi, M. (2024) · Digital Discovery · doi:10.1039/d4dd00040d · Cited by 103
Metadata
- Authors
- MacLeod, B. P., Parlane, F. G. L., Rupnow, C. C., Dettelbach, K. E., Elliott, M. S., Morrissey, T. D., Haley, T. H., Proskurin, O., Rooney, M. B., Taherimakhsousi, N., Dvorak, D. J., Chiu, H. N., Waizenegger, C. E. B., Ocean, K., Mokhtari, M., & Berlinguette, C. P.
- Venue
- Nature Communications
- Published
- 2022-02-22
- Volume
- 13
- Issue
- 1
- Pages
- 995-995
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W4212913440
- Cited by
- 211
- References
- 3
- FWCI
- 11.05
- Type
- journal article
- Language
- en
- Open access
- gold
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: A self-driving laboratory advances the Pareto front for material properties. https://app.cochat.ai/papers/10.1038/s41467-022-28580-6
- The paper
- MacLeod, B. P., Parlane, F. G. L., Rupnow, C. C., Dettelbach, K. E., Elliott, M. S., Morrissey, T. D., Haley, T. H., Proskurin, O., Rooney, M. B., Taherimakhsousi, N., Dvorak, D. J., Chiu, H. N., Waizenegger, C. E. B., Ocean, K., Mokhtari, M., & Berlinguette, C. P. (2022). A self-driving laboratory advances the Pareto front for material properties. Nature Communications. https://doi.org/10.1038/s41467-022-28580-6
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.