The Materials Science Foundation Supporting the Microfabrication of Reliable Polyimide–Metal Neuroelectronic Interfaces

Abstract

Thin‐film polyimide–metal neuroelectronic interfaces hold the potential to alleviate many neurological disorders. However, their long‐term reliability is challenged by an aggressive implant environment that causes delamination and degradation of critical materials, resulting in a degradation or complete loss of implant function. Herein, a rigorous and in‐depth analysis is presented on the fabrication and modification of critical materials in these thin‐film neural interfaces. Special attention is given to improving the interfacial adhesion between thin films and processing modifications to maximize device reliability. Fundamental material analyses are performed on the polyimide substrate and adhesion‐promotion candidates, including amorphous silicon carbide (a‐SiC:H), amorphous carbon, and silane coupling agents. Basic fabrication rules are identified to markedly improve polyimide self‐adhesion, including optimizing the polyimide‐cure profile and maximizing high‐energy surface activation. In general, oxide‐forming materials are identified as poor adhesive aids to polyimide without targeted modifications. Methods are identified to incorporate effective a‐SiC:H interfacial layers to improve metal adherence to polyimide, in addition to examples of alloying between adjacent material layers that can impact the trace resistivity and long‐term reliability of the thin‐film interfaces. The provided rationale and consequences of key decisions made should promote more reproducible science using robust and reliable neuroelectronic technology.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 03, 2021
Source ID
10.1002/admt.202100149

Entities

People

  • Cary A Kuliasha
  • Jack W. Judy

Organizations

  • Defense Advanced Research Projects Agency
  • National Institute of Neurological Disorders and Stroke
  • National Institutes of Health
  • University of Florida

Tags

Readers

  • Neuroscience
  • Surface Engineering/Surface Coating Technology.
  • Systems Analysis and Design