2021
DOI: 10.1088/2399-1984/ac3c8f
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Uncertainty quantification and prediction for mechanical properties of graphene aerogels via Gaussian process metamodels

Abstract: Graphene aerogels, a special class of 3D graphene assemblies, are well known for their exceptional combination of high strength, lightweightness, and high porosity. However, due to microstructural randomness, the mechanical properties of graphene aerogels are also highly stochastic, an issue that has been observed but insufficiently addressed. In this work, we develop Gaussian process metamodels to not only predict important mechanical properties of graphene aerogels but also quantify their uncertainties. Usin… Show more

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Cited by 3 publications
(13 citation statements)
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“…This is consistent with previous studies. 43 Fig. 2(c) shows that as σ increases, the tensile strength σ u decreases.…”
Section: Resultsmentioning
confidence: 94%
See 2 more Smart Citations
“…This is consistent with previous studies. 43 Fig. 2(c) shows that as σ increases, the tensile strength σ u decreases.…”
Section: Resultsmentioning
confidence: 94%
“…We have quantified the uncertainty of GA mechanical properties in our previous research using Gaussian process metamodels. 43…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Morphology of 2D macromolecules plays an important role in defining the microstructures of their macroscopic assemblies in forms of fibers and films, as well as their mechanical, transport, and functional properties. 26 , 27 , 28 For example, plasticization spinning strategy converts the wrinkled conformation of graphene to the flat one and enlarges the crystallite domains, thus enhancing the mechanical properties of graphene fibers. 29 Microfluidic design regulates the alignment and orientation of graphene sheets and improves the transport properties of fibers.…”
Section: Introductionmentioning
confidence: 99%
“… 34 Rationalizing the conformational map is thus of critical importance to understand and control the microstructures and functions of 2D macromolecules and their assemblies. 28 , 35 …”
Section: Introductionmentioning
confidence: 99%