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MEMS, Flexible and Wearable Electronic Devices: Progress in Design, Optimization, Fabrication, Materials Integration, Packaging and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 7103

Special Issue Editor


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Guest Editor
1. Faculty of Engineering and Natural Sciences, Department of Electronics Engineering, Sabanci University, Tuzla, Istanbul 34956, Turkey
2. Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA
3. Sabanci University Nanotechnology Research and Application Center (SUNUM), Tuzla, Istanbul 34956, Turkey
Interests: MEMS; microfabrication; nanofabrication; flexible/wearable electronics; biosensors; scanning probe lithography; AFM tip fabrication; graphene; magnetic manipulation; droplet manipulation; microfluidics; textile; ECG; electrode; UVLED lithography

Special Issue Information

Dear Colleagues,

Research in MEMS and flexible and wearable electronic devices entails a holistic perspective at the crossroads of device design, materials, fabrication, integration, packaging, and application. Oftentimes, successful device demonstrations, be they for micromachined sensors/actuators, RF-MEMS, Bio-MEMS, flexible and/or wearable devices, require multiple iterations, cycling between design and fabrication to testing and characterization. Eventually, an optimized “system-level” integrated solution is reached, which is specific to the particular device design, the target application, the actual functional and structural materials that are used, and to the fabrication and/or packaging processes that are developed or employed.

This Special Issue focuses on the progress in micro/nano-electro-mechanical-systems (MEMS/NEMS), micromachined sensors and actuators, and flexible and wearable electronic devices, with a particular emphasis on “system-level integration”, including new materials, the development of novel micro/nanofabrication approaches, the investigation of novel sensing modalities to detect and quantify physical, chemical or biological measurements, design and process optimization, packaging and/or assembly and heterogenous integration, to enable new applications and “More than Moore” devices.

Dr. Murat Kaya Yapici
Guest Editor

Manuscript Submission Information

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Keywords

  • MEMS sensors and actuators
  • RF-MEMS (e.g., inductors, switches)
  • bio-MEMS, biosensors, biochips, microfluidics
  • flexible electronics
  • wearables and applications (e.g., health monitoring, e-textiles)
  • flexible hybrid electronics
  • printed electronics
  • micro/nanofabrication, process design and optimization (e.g., e-beam lithography, nanoimprint)
  • printing techniques (e.g., dip-coating, spray printing, screen printing, inkjet printing) and inks
  • MEMS-CMOS integration, packaging
  • materials integration (e.g., 2D nanomaterials, transfer printing, self-assembly)
  • device design, modeling and optimization

Published Papers (6 papers)

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Research

12 pages, 6691 KiB  
Article
A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots
by Xiaoqing Xing, Yao Zou, Mian Zhong, Shichen Li, Hongyun Fan, Xia Lei, Juhang Yin, Jiaqing Shen, Xinyi Liu, Man Xu, Yong Jiang, Tao Tang, Yu Qian and Chao Zhou
Sensors 2024, 24(4), 1349; https://doi.org/10.3390/s24041349 - 19 Feb 2024
Viewed by 780
Abstract
There has been a significant shift in research focus in recent years toward laser-induced graphene (LIG), which is a high-performance material with immense potential for use in energy storage, ultrahydrophobic water applications, and electronic devices. In particular, LIG has demonstrated considerable potential in [...] Read more.
There has been a significant shift in research focus in recent years toward laser-induced graphene (LIG), which is a high-performance material with immense potential for use in energy storage, ultrahydrophobic water applications, and electronic devices. In particular, LIG has demonstrated considerable potential in the field of high-precision human motion posture capture using flexible sensing materials. In this study, we investigated the surface morphology evolution and performance of LIG formed by varying the laser energy accumulation times. Further, to capture human motion posture, we evaluated the performance of highly accurate flexible wearable sensors based on LIG. The experimental results showed that the sensors prepared using LIG exhibited exceptional flexibility and mechanical performance when the laser energy accumulation was optimized three times. They exhibited remarkable attributes, such as high sensitivity (~41.4), a low detection limit (0.05%), a rapid time response (response time of ~150 ms; relaxation time of ~100 ms), and excellent response stability even after 2000 s at a strain of 1.0% or 8.0%. These findings unequivocally show that flexible wearable sensors based on LIG have significant potential for capturing human motion posture, wrist pulse rates, and eye blinking patterns. Moreover, the sensors can capture various physiological signals for pilots to provide real-time capturing. Full article
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17 pages, 4610 KiB  
Article
Expansion of the Analytical Modeling of Capacitance for 1-N-1 Multilayered CID Structures with Monotonically Increasing/Decreasing Permittivity
by Anwar Ulla Khan
Sensors 2023, 23(13), 5838; https://doi.org/10.3390/s23135838 - 23 Jun 2023
Cited by 3 | Viewed by 1301
Abstract
Capacitive sensors that utilize the Coplanar Interdigitated (CID) electrode structure are widely employed in various technical and analytical domains, such as healthcare, infectious disease management, pharmaceuticals, metrology, and environmental monitoring. The present exigency for lab-on-a-chip contrivances and the requisite for the miniaturization of [...] Read more.
Capacitive sensors that utilize the Coplanar Interdigitated (CID) electrode structure are widely employed in various technical and analytical domains, such as healthcare, infectious disease management, pharmaceuticals, metrology, and environmental monitoring. The present exigency for lab-on-a-chip contrivances and the requisite for the miniaturization of sensors have led to the widespread adoption of CID sensors featuring multiple dielectric layers (DLs), either in the form of substrates or superstrates. Previously, we derived an analytical model for the capacitance of CID capacitive sensors with four distinct 1-N-1 patterns (namely, 1-1-1, 1-3-1, 1-5-1, and 1-11-1) using partial capacitance (PC) and conformal mapping (CM) techniques. The aforementioned model has been employed in various applications wherein the permittivity of successive layers exhibits a monotonic decrease as one moves away from the electrode plane, resulting in highly satisfactory outcomes. Nevertheless, the PC technique is inadequate for structures with multiple layers where the permittivity exhibits a monotonic increase as the distance from the electrodes increases. Given these circumstances, it is necessary to adapt the initial PC method to incorporate these novel configurations. In this work, we have discussed a new approach, splitting the concept of PC into partial parallel capacitance (PPC) and partial serial capacitance (PSC), where new CM transformations are proposed for the latter case. Thus, the present study proposes a novel methodology to expand upon our prior analytical framework, which aims to incorporate scenarios where the permittivity experiences a reduction across successive layers. The outcomes are juxtaposed with the finite element simulation and analytical findings. Full article
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15 pages, 6236 KiB  
Communication
Long-Acting Real-Time Microscopic Monitoring Inside the Proton Exchange Membrane Water Electrolyzer
by Chi-Yuan Lee, Chia-Hung Chen, Hsian-Chun Chuang, Hsiao-Te Hsieh and Yen-Chen Chiu
Sensors 2023, 23(12), 5595; https://doi.org/10.3390/s23125595 - 15 Jun 2023
Cited by 3 | Viewed by 1017
Abstract
The proton exchange membrane water electrolyzer (PEMWE) requires a high operating voltage for hydrogen production to accelerate the decomposition of hydrogen molecules so that the PEMWE ages or fails. According to the prior findings of this R&D team, temperature and voltage can influence [...] Read more.
The proton exchange membrane water electrolyzer (PEMWE) requires a high operating voltage for hydrogen production to accelerate the decomposition of hydrogen molecules so that the PEMWE ages or fails. According to the prior findings of this R&D team, temperature and voltage can influence the performance or aging of PEMWE. As the PEMWE ages inside, the nonuniform flow distribution results in large temperature differences, current density drops, and runner plate corrosion. The mechanical stress and thermal stress resulting from pressure distribution nonuniformity will induce the local aging or failure of PEMWE. The authors of this study used gold etchant for etching, and acetone was used for the lift-off part. The wet etching method has the risk of over-etching, and the cost of the etching solution is also higher than that of acetone. Therefore, the authors of this experiment adopted a lift-off process. Using the flexible seven-in-one (voltage, current, temperature, humidity, flow, pressure, oxygen) microsensor developed by our team, after optimized design, fabrication, and reliability testing, it was embedded in PEMWE for 200 h. The results of our accelerated aging test prove that these physical factors affect the aging of PEMWE. Full article
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14 pages, 6574 KiB  
Article
Flexible Seven-in-One Microsensor Embedded in High-Pressure Proton Exchange Membrane Water Electrolyzer for Real-Time Microscopic Monitoring
by Chi-Yuan Lee, Chia-Hung Chen, Hsian-Chun Chuang, Shan-Yu Chen and Yu-Chen Chiang
Sensors 2023, 23(12), 5489; https://doi.org/10.3390/s23125489 - 10 Jun 2023
Cited by 2 | Viewed by 1026
Abstract
The voltage, current, temperature, humidity, pressure, flow, and hydrogen in the high-pressure proton exchange membrane water electrolyzer (PEMWE) can influence its performance and life. For example, if the temperature is too low to reach the working temperature of the membrane electrode assembly (MEA), [...] Read more.
The voltage, current, temperature, humidity, pressure, flow, and hydrogen in the high-pressure proton exchange membrane water electrolyzer (PEMWE) can influence its performance and life. For example, if the temperature is too low to reach the working temperature of the membrane electrode assembly (MEA), the performance of the high-pressure PEMWE cannot be enhanced. However, if the temperature is too high, the MEA may be damaged. In this study, the micro-electro-mechanical systems (MEMS) technology was used to innovate and develop a high-pressure-resistant flexible seven-in-one (voltage, current, temperature, humidity, pressure, flow, and hydrogen) microsensor. It was embedded in the upstream, midstream, and downstream of the anode and cathode of the high-pressure PEMWE and the MEA for the real-time microscopic monitoring of internal data. The aging or damage of the high-pressure PEMWE was observed through the changes in the voltage, current, humidity, and flow data. The over-etching phenomenon was likely to occur when this research team used wet etching to make microsensors. The back-end circuit integration was unlikely to be normalized. Therefore, this study used lift-off process to further stabilize the quality of the microsensor. In addition, the PEMWE is more prone to aging and damage under high pressure, so its material selection is very important. Full article
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10 pages, 3644 KiB  
Communication
Frequency Response of a Six-Electrode MET Sensor at Extremely Low Temperatures
by Vadim Agafonov, Ivan Egorov and Anna Akinina
Sensors 2023, 23(9), 4311; https://doi.org/10.3390/s23094311 - 27 Apr 2023
Viewed by 984
Abstract
Four-electrode electrochemical cells are widely used for signal conversion in molecular-electronic transfer (MET) motion sensors. The most used ACCA (anode–cathode–cathode–anode) configuration has proven its performance and usefulness for obtaining a superior conversion factor and a wider frequency range over standard geophones at room [...] Read more.
Four-electrode electrochemical cells are widely used for signal conversion in molecular-electronic transfer (MET) motion sensors. The most used ACCA (anode–cathode–cathode–anode) configuration has proven its performance and usefulness for obtaining a superior conversion factor and a wider frequency range over standard geophones at room temperature. However, the MET sensor conversion factor decreases a thousand-fold or more when the temperature drops from room temperature to 233 K. In the design suggested is this paper, a pair of additional gate (G) electrodes has been added outside the standard ACCA cell. An experimental study of the temperature behavior of the resulting G-ACCA-G six-electrode configuration showed that the effects of temperature changes on the cell conversion factor are 5.2 times weaker compared with the standard ACCA configuration. Full article
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14 pages, 2871 KiB  
Article
Machine Learning-Based Modeling and Generic Design Optimization Methodology for Radio-Frequency Microelectromechanical Devices
by Rayan Bajwa and Murat Kaya Yapici
Sensors 2023, 23(8), 4001; https://doi.org/10.3390/s23084001 - 14 Apr 2023
Cited by 3 | Viewed by 1575
Abstract
RF-MEMS technology has evolved significantly over the years, during which various attempts have been made to tailor such devices for extreme performance by leveraging novel designs and fabrication processes, as well as integrating unique materials; however, their design optimization aspect has remained less [...] Read more.
RF-MEMS technology has evolved significantly over the years, during which various attempts have been made to tailor such devices for extreme performance by leveraging novel designs and fabrication processes, as well as integrating unique materials; however, their design optimization aspect has remained less explored. In this work, we report a computationally efficient generic design optimization methodology for RF-MEMS passive devices based on multi-objective heuristic optimization techniques, which, to the best of our knowledge, stands out as the first approach offering applicability to different RF-MEMS passives, as opposed to being customized for a single, specific component. In order to comprehensively optimize the design, both electrical and mechanical aspects of RF-MEMS device design are modeled carefully, using coupled finite element analysis (FEA). The proposed approach first generates a dataset, efficiently spanning the entire design space, based on FEA models. By coupling this dataset with machine-learning-based regression tools, we then generate surrogate models describing the output behavior of an RF-MEMS device for a given set of input variables. Finally, the developed surrogate models are subjected to a genetic algorithm-based optimizer, in order to extract the optimized device parameters. The proposed approach is validated for two case studies including RF-MEMS inductors and electrostatic switches, in which the multiple design objectives are optimized simultaneously. Moreover, the degree of conflict among various design objectives of the selected devices is studied, and corresponding sets of optimal trade-offs (pareto fronts) are extracted successfully. Full article
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