An AI system to help scientists write expert-level empirical software
- DOI
- 10.1038/s41586-026-10658-6
- Published
- 2026-05-19
- Container
- Nature
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41586-026-10658-6,
title = {An AI system to help scientists write expert-level empirical software},
author = {Eser Aygün and Anastasiya Belyaeva and Gheorghe Comanici and Marc Coram and Hao Cui and Jake Garrison and Renee Johnston and Anton Kast and Cory Y. McLean and Peter Norgaard and Zahra Shamsi and David Smalling and James Thompson and Subhashini Venugopalan and Brian P. Williams and Chujun He and Sarah Martinson and Martyna Plomecka and Lai Wei and Yuchen Zhou and Qian-Ze Zhu and Matthew Abraham and Erica Brand and Anna Bulanova and Jeffrey A. Cardille and Chris Co and Scott Ellsworth and Grace Joseph and Malcolm Kane and Ryan Krueger and Johan Kartiwa and Dan Liebling and Jan-Matthis Lueckmann and Paul Raccuglia and Xuefei Julie Wang and Katherine Chou and James Manyika and Yossi Matias and John C. Platt and Lizzie Dorfman and Shibl Mourad and Michael P. Brenner},
year = {2026},
journal = {Nature},
doi = {10.1038/s41586-026-10658-6},
url = {https://doi.org/10.1038/s41586-026-10658-6}
}RIS
TY - JOUR TI - An AI system to help scientists write expert-level empirical software AU - Eser Aygün AU - Anastasiya Belyaeva AU - Gheorghe Comanici AU - Marc Coram AU - Hao Cui AU - Jake Garrison AU - Renee Johnston AU - Anton Kast AU - Cory Y. McLean AU - Peter Norgaard AU - Zahra Shamsi AU - David Smalling AU - James Thompson AU - Subhashini Venugopalan AU - Brian P. Williams AU - Chujun He AU - Sarah Martinson AU - Martyna Plomecka AU - Lai Wei AU - Yuchen Zhou AU - Qian-Ze Zhu AU - Matthew Abraham AU - Erica Brand AU - Anna Bulanova AU - Jeffrey A. Cardille AU - Chris Co AU - Scott Ellsworth AU - Grace Joseph AU - Malcolm Kane AU - Ryan Krueger AU - Johan Kartiwa AU - Dan Liebling AU - Jan-Matthis Lueckmann AU - Paul Raccuglia AU - Xuefei Julie Wang AU - Katherine Chou AU - James Manyika AU - Yossi Matias AU - John C. Platt AU - Lizzie Dorfman AU - Shibl Mourad AU - Michael P. Brenner PY - 2026 JO - Nature DO - 10.1038/s41586-026-10658-6 UR - https://doi.org/10.1038/s41586-026-10658-6 ER -
APA
Aygün, E., Belyaeva, A., Comanici, G., Coram, M., Cui, H., Garrison, J., Johnston, R., Kast, A., McLean, C. Y., Norgaard, P., Shamsi, Z., Smalling, D., Thompson, J., Venugopalan, S., Williams, B. P., He, C., Martinson, S., Plomecka, M., Wei, L., Zhou, Y., Zhu, Q., Abraham, M., Brand, E., Bulanova, A., Cardille, J. A., Co, C., Ellsworth, S., Joseph, G., Kane, M., Krueger, R., Kartiwa, J., Liebling, D., Lueckmann, J., Raccuglia, P., Wang, X. J., Chou, K., Manyika, J., Matias, Y., Platt, J. C., Dorfman, L., Mourad, S., & Brenner, M. P. (2026). An AI system to help scientists write expert-level empirical software. Nature. https://doi.org/10.1038/s41586-026-10658-6
Source records
- crossref · retrieved 2026-09-26T14:58:39.044Z