Bond-Resolved Scanning Probe Microscopy of Solution Deposited Graphene Nanoribbon Self-Assemblies for Advanced Electronics

Abstract

Title: Bond-Resolved Scanning Probe Microscopy of Solution Deposited Graphene Nanoribbon Self-Assemblies for Advanced ElectronicsAbstract:I. Description of the Instrumentation RequestedThis proposal requests funding for the acquisition of an ultra-high vacuum (UHV) low temperature(4 K) scanning probe microscope (SPM) capable of in-situ imaging of graphene nanoribbon (GNR)heterostructure devices on gated insulating substrates. The proposed SPM will be capable ofperforming scanning tunneling microscopy (STM), bond resolved scanning tunneling microscopy(BRSTM), and non-contact atomic force microcopy (nc-AFM) with CO functionalized SPM tipsat temperatures ranging from 477 K. The preparation chamber is custom designed toaccommodate a matrix assisted direct contact transfer (DCT) system capable of depositing solutionsynthesized GNRs and/or their polymer/monomer precursors suspended in an inert traceless matrixonto metallic and gated insulating substrates. The preparation chamber is equipped with anindependently pumped multistage vacuum system capable of maintaining a base pressure of < 109 mbar, a sample manipulator featuring an e-beam heating element for sample annealing and aliquid nitrogen cooled sample preparation stage. The cryogenic SPM stage is equipped with fourterminal contacts and the required electronics suite to perform in situ SPM imaging of gateddevices along with a bleed valve for carbon monoxide tip functionalization. The layout and thespecific performance parameters of the proposed system fill a critical instrument gap in thepreparation and the in-situ investigation of GNRs in integrated functional electronic devicearchitectures. As such this system represents a quantum leap towards the realization of single GNRdevice architectures that is not mirrored or accessible by any other instrumentation available to theGNR nanotechnology community.II. Research Supported by the InstrumentationThe instrument will support research performed under ONR MURI (Title: Carbon-basedHierarchical Integrated Synthetic Electronics (CHISEL)) and ONR BAA (Title: ProgrammableAssembly of Graphene Nanoribbon-Based Electronics (PAGE)) dedicated to the explorationcharacterization and ultimately functional implementation of GNR nanotechnology as the nextgeneration of faster and more energy efficient integrated circuit architectures.III. Education Supported by the InstrumentationThe matrix assisted DCT SPM system described herein will have a significant impact on theresearch-related educational activity associated with our DOD projects. Our research program ishighly interdisciplinary and involves a research teams from the UC Berkeley Physics, Chemistry,and Electrical Engineering Departments. As a result, students and postdocs are constantly beingexposed to new concepts that cross traditional discipline boundaries. The proposed SPM systemwill enhance this interdisciplinary activity tremendously, since the new capabilities provided bythis new system are of crucial interest to researchers from all different backgrounds. The proposedinstrument will further the ONR goal of promoting education in the STEM fields. The graphenenanostructures-based research described in this proposal will be performed by students at all levels,from high school interns and undergraduate laboratory assistants to graduate students andpostdoctoral researchers. Students will be exposed and trained in nanoscience at the forefront ofchemistry, physics and electrical engineering.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 11, 2020
Source ID
N000142012824

Entities

People

  • Felix Fischer

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California Regents

Tags

Readers

  • Nanoscale Plasmonic Nanotechnology
  • Research Science/Academic Research
  • Thin Film Deposition Science.

Technology Areas

  • Biotechnology
  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing