Revealing the Proton Slingshot Mechanism in Solid Acid Electrolytes through Machine-Learning Molecular Dynamics.
- DOI
- 10.1021/jacs.5c21965
- Published
- 2026 Oct 14
- Container
- Journal of the American Chemical Society
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- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/jacs.5c21965,
title = {Revealing the Proton Slingshot Mechanism in Solid Acid Electrolytes through Machine-Learning Molecular Dynamics.},
author = {Wang M and Ding J and Xiong G and Zhan N and Owen C and Musaelian A and Xie Y and Molinari N and Adams R and Kozinsky B and Haile S},
year = {2026},
journal = {Journal of the American Chemical Society},
doi = {10.1021/jacs.5c21965},
url = {https://doi.org/10.1021/jacs.5c21965}
}RIS
TY - JOUR TI - Revealing the Proton Slingshot Mechanism in Solid Acid Electrolytes through Machine-Learning Molecular Dynamics. AU - Wang M AU - Ding J AU - Xiong G AU - Zhan N AU - Owen C AU - Musaelian A AU - Xie Y AU - Molinari N AU - Adams R AU - Kozinsky B AU - Haile S PY - 2026 JO - Journal of the American Chemical Society DO - 10.1021/jacs.5c21965 UR - https://doi.org/10.1021/jacs.5c21965 ER -
APA
M, W., J, D., G, X., N, Z., C, O., A, M., Y, X., N, M., R, A., B, K., & S, H. (2026). Revealing the Proton Slingshot Mechanism in Solid Acid Electrolytes through Machine-Learning Molecular Dynamics.. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.5c21965
Source records
- pubmed · retrieved 2026-11-10T10:19:55.404Z