Inferring causal networks of dynamical systems through transient dynamics and perturbation
Inferring causal relations from time series measurements is an ill-posed mathematical
problem, where typically an infinite number of potential solutions can reproduce the given …
problem, where typically an infinite number of potential solutions can reproduce the given …
A novel statistical spring-bead based network model for self-sensing smart polymer materials
This paper presents a multiscale modeling approach to simulating the self-sensing behavior
of a load sensitive smart polymer material. A statistical spring-bead based network model is …
of a load sensitive smart polymer material. A statistical spring-bead based network model is …
A multiscale model coupling molecular dynamics simulations and micromechanics to study the behavior of CNT-enhanced nanocomposites
A comprehensive, point-information-to-continuum-level analysis framework is presented in
this paper to accurately characterize the behavior of CNT-enhanced composite materials …
this paper to accurately characterize the behavior of CNT-enhanced composite materials …
Nanoscale Thermal Transport at Graphene-Soft Material Interfaces
Y Liu - 2016 - vtechworks.lib.vt.edu
Nanocomposites consist of graphene dispersed in matrices of soft materials are promising
thermal management materials. A fundamental understanding of the thermal transport at …
thermal management materials. A fundamental understanding of the thermal transport at …