title: An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube.
abstract: Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct an input-output mapping based on both human knowledge in the form of fuzzy if-then rules and stipulated input-output data pairs. Good performance of the designed ANFIS ensures its capability as a promising tool for modeling and prediction of fluid flow at nanoscale where the continuum models of fluid dynamics tend to break down.
authors.affiliation: Institute for Materials Research (IMR), Tohoku University, Sendai, 980-8577 Japan.
authors.forename: Samad
authors.initials: S
authors.lastname: Ahadian
authors.forename: Yoshiyuki
authors.initials: Y
authors.lastname: Kawazoe