Abstract
| Original language | English |
|---|---|
| Number of pages | 15 |
| Journal | Nature Materials |
| Online published | 12 Jan 2026 |
| DOIs | |
| Publication status | Online published - 12 Jan 2026 |
Funding
We thank L. Yang and C. Yu from Peking University (PKU) for their help with the 2D material transfer and fabrications, and N. Zhao from Beijing Computational Science Research Center (CSRC) for meaningful guidance and discussions on the NMR simulations. This work was supported by the National Key R&D Program under grant number 2021YFA1400500; the Program under grant number 2023ZD0301300; the National Natural Science Foundation of China under grant numbers 11888101, 21725302, 12474160, U22A20260 and 12250001; the Strategic Priority Research Program of the Chinese Academy of Sciences under grant number XDB28000000; and the Beijing Municipal Science & Technology Commission under grant number Z231100006623009. W.Z. acknowledges the China Postdoctoral Science Foundation under grant number 2022M710235. Y.J. acknowledges the New Cornerstone Science Foundation through the New Cornerstone Investigator Program and the XPLORER PRIZE, and the Beijing Outstanding Young Scientist Program under grant number JWZQ20240101002. X.C.Z. acknowledges support from the Hong Kong Global STEM Professorship Scheme and the Research Grants Council of Hong Kong (GRF grant numbers 11204123 and 11302225). J.J. acknowledges funding support from the National Natural Science Foundation of China (grant number 22303072). R.S., A.D. and J.W. acknowledge the BMBF via Clusters4Future: QSens and the DFG under grant numbers FOR 2724, GRK 2642 and WR 28/34-1.
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1038/s41563-025-02456-8
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Experimental observation of liquid-solid transition of nanoconfined water at ambient temperature'. Together they form a unique fingerprint.Projects
- 2 Active
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GRF: Development of Machine-Learning Force Field for Studying Electro-Freezing/Melting and Novel Phase Behavior of Nanoconfined Water/Ice
ZENG, X. (Principal Investigator / Project Coordinator)
1/07/25 → …
Project: Research
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GRF: Machine-Learning Force Field Based Computer Simulation of Rich Physical Phase Behaviour of Two-Dimensional Water/Ice in Nano-Confinement
ZENG, X. (Principal Investigator / Project Coordinator)
1/07/23 → …
Project: Research
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