2021
DOI: 10.1002/adfm.202107949
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MOF‐Based Sustainable Memory Devices

Abstract: Data storage, processing, and communications are the backbone of the digital world and focus the innovation efforts of the microelectronics industry. Recent raw material shortages, however, have revealed the danger of sourcing for the digital industry. At a time of a significant increase in demand for data storage systems, it is urgent to consider the sustainability of the resources used for devices. By diluting inorganic elements in an organic matrix, metal-organic frameworks (MOFs) are of substantial interes… Show more

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Cited by 45 publications
(28 citation statements)
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References 127 publications
(317 reference statements)
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“…They will bring irreversible destructions to the MOF resonant cavities. [26] Therefore, we proposed the construction strategy of photoswitch building units (PBUs), as shown in Figure 1. Multiple PBUs are integrated to prepare the sandwich-like mixed-matrix membrane (MMM).…”
Section: Introductionmentioning
confidence: 99%
“…They will bring irreversible destructions to the MOF resonant cavities. [26] Therefore, we proposed the construction strategy of photoswitch building units (PBUs), as shown in Figure 1. Multiple PBUs are integrated to prepare the sandwich-like mixed-matrix membrane (MMM).…”
Section: Introductionmentioning
confidence: 99%
“…50,51 However, the research on electrical bistability is still in its infancy and only a few cases have been reported to date. 52,53 Developing MOF-based electrical bistability materials and understanding the dynamic features of structures under the applied voltage bias remain a daunting challenge, which not only needs a rational ligand with functional groups, but also requires effective carrier transport pathways.…”
Section: Introductionmentioning
confidence: 99%
“…30 Intriguing is that the dynamic and reversible structural behavior of such structures is expressed in the form of a change in their optical, chemical, magnetic and dielectric properties, and, hence, formed the basis of smart separators, 10 molecular machines, 29,31 and data processing systems. 32,33 However, the steric hindrance effect, limiting the rates of structural transformations, 32 k, up to several s −1 at ambient conditions for the most available dynamic CPs and MOFs, as well as irreversible structural distortion, appearing during the large number of transformation cycles, 34 are still a challenge for future application of dynamic CPs in real-case scenario.…”
mentioning
confidence: 99%
“…A family of dynamic coordination polymers (CPs) including metal–organic frameworks (MOFs) with corresponding stimuli-responsive structures has been recently emerged as a new generation of “smart” artificial materials for diverse application. In terms of crystal engineering, the general principles to design such materials are based on utilization of flexible and/or photochromic ligands, , catenane or rotaxane components, , single coordination bonds, and/or hinge coordination, as well as introducing the weak intermolecular interactions either through one- (1D) and two-dimensional (2D) structure, , or linker functionalization with dispersion energy donating groups. , The response of the resulting structure to external stimuli such as temperature, pressure, guest molecules, electric/magnetic field, and light can manifest itself as a phase transitions between two or more distinguished crystal structures ,, or within the same space group, ,, associated generally with ligand deformations, conformations and breathing . Intriguing is that the dynamic and reversible structural behavior of such structures is expressed in the form of a change in their optical, chemical, magnetic and dielectric properties, and, hence, formed the basis of smart separators, molecular machines, , and data processing systems. , However, the steric hindrance effect, limiting the rates of structural transformations, k , up to several s –1 at ambient conditions for the most available dynamic CPs and MOFs, as well as irreversible structural distortion, appearing during the large number of transformation cycles, are still a challenge for future application of dynamic CPs in real-case scenario.…”
mentioning
confidence: 99%