2023/07/27 by Fan, Dong, Ozcan, Aydin, Lyu, Pengbo +1
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
paper · doi:10.48550/arxiv.2307.15127
Two-dimensional (2D) metal-organic frameworks (MOFs) hold immense potential for various applications due to their distinctive intrinsic properties compared to their 3D analogues. Herein, we designed in silico a highly stable NiF2(pyrazine)2 2D MOF with a two-periodic wine-rack architecture. Extensive first-principles calculations and Molecular Dynamics simulations based on a newly developed machine learning potential (MLP) revealed that this 2D MOF exhibits huge in-plane Poisson's ratio anisotropy. This results into an anomalous negative in-plane stretchability, as evidenced by an uncommon decrease of its in-plane area upon the application of uniaxial tensile strain that makes this 2D MOF particularly attractive for flexible wearable electronics and ultra-thin sensor applications. We further demonstrated that the derived MLP offers a unique opportunity to effectively anticipate the finite temperature mechanical properties of MOFs at large scale. As a proof-concept, MLP-based Molecular Dynamics simulations were successfully achieved on 2D NiF2(pyrazine)2 with a dimension of 28.2×28.2 nm2 relevant to the length scale experimentally attainable for the fabrication of MOF film.