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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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 Sensors and Materials
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Vol. 35 No. 6(2)
Special Issue on Advanced Microfabrication Processes for MEMS/NEMS

Guest Editor: Hiroshi Toshiyoshi (The University of Tokyo)

Preface

  • Two-dimensional (2D) materials are highly compatible with microelectromechanical systems (MEMSs), and the latter can be used to mechanically manipulate 2D materials with micrometer-level precisio ... Read More

  • In this paper, we present a new structure and a process for electrostatic energy harvesters made in a silicon-on-glass wafer. Conventional electret-based MEMS energy harvesters are produced using ... Read More

  • We demonstrate a microelectromechanical systems (MEMS) electret-type vibrational energy harvester with a wide bandwidth between 25 and 60 Hz (span of 35 Hz) for a small sinusoidal acceleration of ... Read More

  • In this paper, we present the observation results of the surface potential of micropatterned thick (> 1 μm) self-assembled electrets (SAEs) for MEMS vibrational energy harvesters (VEHs). To eval ... Read More

  • Polymers are increasingly being used as flexible structural materials in MEMS. We have focused on UV-cured polydimethylsiloxane (UV-PDMS), which is both photoreactive and highly flexible. In this ... Read More


S&M3299

Research Paper of Special Issue

S&M3299
Transfer of van der Waals Heterostructures of Two-dimensional Materials onto Microelectromechanical Systems
Momoko Onodera and Tomoki Machida


pp. 1929-1939
https://doi.org/10.18494/SAM4363
Published on June 27, 2023
PDF (open access)

S&M3300

Research Paper of Special Issue

S&M3300
MEMS Electrostatic Energy Harvester Developed by Simultaneous Process for Anodic Bonding and Electret Charging
Hiroaki Honma, Sho Ikeno, and Hiroshi Toshiyoshi

pp. 1941-1955
https://doi.org/10.18494/SAM4402
Published on June 27, 2023
PDF (open access)

S&M3301

Research Paper of Special Issue

S&M3301
Electret MEMS Vibration Energy Harvester with Reconfigurable Frequency Response
Gen Hashiguchi and Hiroshi Toshiyoshi

pp. 1957-1983
https://doi.org/10.18494/SAM4367
Published on June 27, 2023
PDF (open access)

S&M3302

Research Paper of Special Issue

S&M3302
Observation of Surface Potential of Micropatterned Self-assembled Electrets for MEMS Vibrational Energy Harvesters
Daisuke Yamane, Kosuke Kawashima, Reiki Sugimoto, Ruichen Li, Hideyuki Kayaguchi, Keisuke Kurihara, Hisao Ishii, and Yuya Tanaka


pp. 1985-1993
https://doi.org/10.18494/SAM4400
Published on June 27, 2023
PDF (open access)

S&M3303

Research Paper of Special Issue

S&M3303
UV-curable Polydimethylsiloxane Photolithography and Its Application to Flexible Mechanical Metamaterials
Ten Sekiguchi, Hidetaka Ueno, Vivek Anand Menon, Ryo Ichige, Yuya Tanaka, Hiroshi Toshiyoshi, and Takaaki Suzuki
pp. 1995-2011
https://doi.org/10.18494/SAM4351
Published on June 27, 2023
PDF (open access)

Cover of this Issue





Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
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Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
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Special Issue on Room-temperature-operation Solid-state Radiation Detectors
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Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
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Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
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