Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design
Kritesh Kumar Gupta, T. Mukhopadhyay, Lintu Roy, S. Dey
Abstract
With the aim of developing an inclusive paradigm, we have systematically quantified the uncertainties associated with internal and external parameters individually, and their compound effect on the mechanical properties of graphene.
Topics & Concepts
GrapheneNanotechnologyComputer scienceMaterials scienceArtificial intelligenceGraphene research and applicationsThermal properties of materialsMachine Learning in Materials Science