Lok-kun Tsui

Research Associate Professor

University of New Mexico

United States

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Lok-kun Tsui is a Research Associate Professor at the University of New Mexico, USA. His research focuses on sensor technologies, particularly in the areas of IoT sensor platforms for methane quantification, machine learning algorithms for gas identification, and additive manufacturing processes for electronic devices. His recent publications explore advancements in mixed potential sensors and their applications in environmental monitoring and energy systems.

Articles (12)

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

Collaborators (4)

Fernando H. Garzon

University of New Mexico

UNITED STATES

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Yongkun Sui

Johns Hopkins University Applied Physics Laboratory

UNITED STATES

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Qiang Huang

Assistant Professor / Associate Professor

The University of Alabama

UNITED STATES

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Jose Cerrato

Professor and Regents’ Lecturer

University of New Mexico

UNITED STATES

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Lok-kun Tsui

Research Interests

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Articles (12)

Field Testing of a Mixed Potential IoT Sensor Platform for Methane Quantification

Comparison of Machine Learning Algorithms for Natural Gas Identification with Mixed Potential Electrochemical Sensor Arrays

Massive enhancement in sensitivity of mixed potential sensors towards methane and natural gas through magnesia stabilized zirconia low ionic conductivity substrate

Additive Manufacturing of Coreless Flyback Transformers Using Aerosol Jet Printing and Electrochemical Deposition

Additive Manufacturing of Coreless Flyback Transformers Using Aerosol Jet Printing and Electrochemical Deposition

An Aerosol Jet Printed Resistance Temperature Detector-Micro Hotplate with Temperature Coefficient of Resistance Stabilized by Electrical Sintering

Electrodeposited Superconducting Re on Flexible Substrates Using Aerosol Jet Printed Metal Seed Layers

Recent Developments in Sensor Technologies for Enabling the Hydrogen Economy

DC Sputtered Ultralow Loading Gold Nanofilm Electrodes for Detection of As (III) in Water

A review of zirconia oxygen, NOx, and mixed potential gas sensors – History and current trends

Combined Mixed Potential Electrochemical Sensors and Artificial Neural Networks for the Quantificationand Identification of Methane in Natural Gas Emissions Monitoring

High Resolution Aerosol Jet Printed Components with Electrodeposition-Enhanced Conductance

Collaborators (4)

Fernando H. Garzon

Yongkun Sui

Qiang Huang

Jose Cerrato

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