Unravelling abnormal in-plane stretchability of two-dimensional metal–organic frameworks by machine learning potential molecular dynamics
01 natural sciences
0104 chemical sciences
DOI:
10.1039/d3nr05966a
Publication Date:
2024-01-16T03:21:55Z
AUTHORS (4)
ABSTRACT
The concept of negative in-plane stretchability is proposed taking a 2D MOF, namely NiF2(pyrazine)2, as a case study, combining high-precision first-principles calculations and machine-learning potential (MLP) approaches.
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