title: Design of a Nanoscale, CMOS-Integrable, Thermal-Guiding Structure for Boolean-Logic and Neuromorphic Computation.
abstract: One of the requirements for achieving faster CMOS electronics is to mitigate the unacceptably large chip areas required to steer heat away from or, more recently, toward the critical nodes of state-of-the-art devices. Thermal-guiding (TG) structures can efficiently direct heat by "meta-materials" engineering; however, some key aspects of the behavior of these systems are not fully understood. Here, we demonstrate control of the thermal-diffusion properties of TG structures by using nanometer-scale, CMOS-integrable, graphene-on-silica stacked materials through finite-element-methods simulations. It has been shown that it is possible to implement novel, controllable, thermally based Boolean-logic and spike-timing-dependent plasticity operations for advanced (neuromorphic) computing applications using such thermal-guide architectures.
authors.affiliation: Science Faculty, Singapore University of Technology and Design , 8 Somapah Road, Singapore 487372, Singapore.
authors.forename: Desmond
authors.initials: D
authors.lastname: Loke
authors.affiliation: Department of Chemistry, University of Bath , Claverton Down, Bath BA2 7AY, U.K.
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Skelton
authors.affiliation: Science Faculty, Singapore University of Technology and Design , 8 Somapah Road, Singapore 487372, Singapore.
authors.forename: Tow-Chong
authors.initials: TC
authors.lastname: Chong
authors.affiliation: Department of Chemistry, University of Cambridge , Lensfield Road, Cambridge CB2 1EW, U.K.
authors.forename: Stephen R
authors.identifier: http://orcid.org/0000-0002-8202-8482
authors.initials: SR
authors.lastname: Elliott
keywords: FEM simulations; computing; metamaterials; switches; thermal control