Programmable Current Control of Silicon Field Emitter Arrays Using Gate-All-Around MOSFETs

Silicon field emitter array (FEA) technology has great potential for applications such as electron microscopy, vacuum electronics, and X-ray sources. However, some challenges such as emitter tip burnout and spatial and temporal non-uniformity of emission current impede the adoption of FEAs in these applications. The current approach to address these challenges involves integrating a resistor, nanowire (NW) current limiter, or metal-oxide-semiconductor field-effect transistor (MOSFET) in series with the emitter tips to regulate current flow. The NW current limiter is preferred for its compact integration, which enables high emitter density in FEAs. However, it restricts the FEA versatility by constraining the emission current to a fixed maximum value. Whereas, MOSFETs provide the ability for programmable control over emission current, enabling FEA versatility. Integrating planar MOSFETs into FEAs demands significant space, leading to a notable reduction in emitter density and FEA compactness. This thesis investigates the integration of vertical gate-all-around (GAA) MOSFETs with individual emitter tips as a solution to enable programmable emission control while preserving the compactness, high emitter density, and versatility of FEAs. To achieve this, SILVACO, a device simulation platform, was used to model the GAA MOSFET, field emitter, and combined GAA MOSFET-FEA devices. The simulation results provide insight into each device's current-voltage (I-V) characteristics, identifying performance-limiting challenges such as breakdown, kinks in the I-V characteristics, and quasi-saturation of the current. Various solutions to these challenges are explored through simulations, and the resulting models show the feasibility of using a GAA MOSFET as a voltage-controlled current source in series with individual field emitter tips to program emission current.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Sahagun, Alvaro

Advisor dc:contributor.advisor

• Akinwande, Akintunde I.

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/156301

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/156301