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An investigation into low-power micro/nano-electro-mechanical (M/NEM) switch devices for internet of things (IoT) power delivery applications using silicon structures and titanium nitride (TiN) contacts

An investigation into low-power micro/nano-electro-mechanical (M/NEM) switch devices for internet of things (IoT) power delivery applications using silicon structures and titanium nitride (TiN) contacts
An investigation into low-power micro/nano-electro-mechanical (M/NEM) switch devices for internet of things (IoT) power delivery applications using silicon structures and titanium nitride (TiN) contacts
Internet of Things (IoT) devices are becoming increasingly common. As their applications expand, power consumption requirements also diverge. MEMS switches offer more efficient switching because their enhanced isolation reduces off-state current. This increased isolation is also beneficial for sensor switches, where the device functions as a sensor and permits current flow once the measurand reaches a specific threshold.

This work details the design, simulation, and testing of MEMS switches, along with the simulation of an inertial sensor switch fabricated on a novel platform developed by the Agency for Science, Technology and Research (A*STAR) in Singapore. The process can produce sub-micron contact gaps and uses Titanium Nitride (TiN) contacts.

The first run of fabricated switching devices was non-functional, but modifications to the designs resulted in some working devices. Further designs were submitted but not fabricated in time. Simulation results indicate that suitable actuation structures are achievable. Experimental results suggest that fabrication faults may be hindering successful device operation.

Sensor switch experimental data provided by A*STAR was used to model and estimate the contact gap and adhesive forces of TiN contacts. The simulation results show that the devices can be effectively modeled based on accurate estimation of the contact gap when compared to experimental results.
University of Southampton
McCarthy, Marlon Elijah
904807fe-724f-4341-8505-6e0274dab9b4
McCarthy, Marlon Elijah
904807fe-724f-4341-8505-6e0274dab9b4
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828

McCarthy, Marlon Elijah (2026) An investigation into low-power micro/nano-electro-mechanical (M/NEM) switch devices for internet of things (IoT) power delivery applications using silicon structures and titanium nitride (TiN) contacts. School of Electronics and Computer Science, Doctoral Thesis, 110pp.

Record type: Thesis (Doctoral)

Abstract

Internet of Things (IoT) devices are becoming increasingly common. As their applications expand, power consumption requirements also diverge. MEMS switches offer more efficient switching because their enhanced isolation reduces off-state current. This increased isolation is also beneficial for sensor switches, where the device functions as a sensor and permits current flow once the measurand reaches a specific threshold.

This work details the design, simulation, and testing of MEMS switches, along with the simulation of an inertial sensor switch fabricated on a novel platform developed by the Agency for Science, Technology and Research (A*STAR) in Singapore. The process can produce sub-micron contact gaps and uses Titanium Nitride (TiN) contacts.

The first run of fabricated switching devices was non-functional, but modifications to the designs resulted in some working devices. Further designs were submitted but not fabricated in time. Simulation results indicate that suitable actuation structures are achievable. Experimental results suggest that fabrication faults may be hindering successful device operation.

Sensor switch experimental data provided by A*STAR was used to model and estimate the contact gap and adhesive forces of TiN contacts. The simulation results show that the devices can be effectively modeled based on accurate estimation of the contact gap when compared to experimental results.

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More information

Submitted date: 2025
Published date: 2026

Identifiers

Local EPrints ID: 510312
URI: http://eprints.soton.ac.uk/id/eprint/510312
PURE UUID: 55c6ad63-661d-4bfe-be97-168ad98e3f7a
ORCID for Marlon Elijah McCarthy: ORCID iD orcid.org/0000-0002-4462-5227
ORCID for Jize Yan: ORCID iD orcid.org/0000-0002-2886-2847

Catalogue record

Date deposited: 25 Mar 2026 17:37
Last modified: 26 Mar 2026 02:59

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Contributors

Author: Marlon Elijah McCarthy ORCID iD
Thesis advisor: Yoshishige Tsuchiya
Thesis advisor: Jize Yan ORCID iD

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