Ferroelectric and Piezoelectric Materials: Fabrication, Characterization, and Applications in Advanced Devices

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "D:Materials and Processing".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 1901

Special Issue Editor


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Guest Editor
Swenson College of Science and Engineering, University of Minnesota Duluth, North Duluth, MN 55812, USA
Interests: ferroelectric and piezoelectric materials; piezoelectric smart composites and devices

Special Issue Information

Dear Colleagues,

Ferroelectric and piezoelectric materials play a central role in modern electronic, electromechanical, and energy systems due to their unique polarization behavior and strong electromechanical coupling. This Special Issue focuses on recent advances spanning fundamental material physics, innovative fabrication and processing techniques, and integration into high-performance devices. We seek to highlight cutting-edge research on the synthesis, characterization, modeling, and engineering of ferroelectric and piezoelectric ceramics, polymers, thin films, composites, and nanostructures.

Topics of interest include the discovery of novel ferroelectric and piezoelectric materials, multiferroic systems, polarization switching mechanisms, strain and domain engineering, and structure–property relationships across multiple length scales. We also welcome studies exploring advanced micro/nanofabrication, additive manufacturing, and data-driven approaches for material and device optimization.

In addition to fundamental studies, this Special Issue emphasizes innovations in device applications, including nonvolatile memories, sensors and actuators, acoustic transducers, piezoelectric and pyroelectric energy harvesters, soft robotics, flexible and wearable electronics, neuromorphic computing, and self-powered sensing systems. By bridging fundamental material science with applied engineering, this Special Issue aims to foster interdisciplinary collaboration among physicists, materials scientists, chemists, mechanical engineers, and device researchers.

We welcome original research articles, reviews, and perspectives that address current challenges, emerging opportunities, and future trends in ferroelectric and piezoelectric materials and their applications. By bringing together recent scientific developments and technological advances, this Special Issue seeks to advance the next generation of functional materials and intelligent devices.

Dr. Ping Zhao
Guest Editor

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Keywords

  • ferroelectric materials
  • piezoelectric materials and devices
  • multiferroics
  • polarization switching and domain dynamics
  • domain and strain engineering
  • thin films, ceramics, polymers, and nanostructures
  • material synthesis and fabrication
  • electromechanical characterization
  • nonvolatile memories
  • energy harvesting (piezoelectric, pyroelectric)
  • flexible and wearable electronics
  • neuromorphic and bioinspired computing
  • sensors, actuators, and transducers
  • additive manufacturing and micro/nanofabrication

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Published Papers (2 papers)

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Research

17 pages, 2111 KB  
Article
Experimental and Machine Learning Study of a Modified Cymbal Piezoelectric Energy Harvester
by Turuna Seecharan, Cobi Kiffmeyer, Nolan Voiles, Kyle Enrlichman, Alex Hankins and Ping Zhao
Micromachines 2025, 16(12), 1342; https://doi.org/10.3390/mi16121342 - 27 Nov 2025
Viewed by 739
Abstract
Cymbal piezoelectric energy harvesters offer an effective platform for converting mechanical vibrations into electrical energy due to their ability to exploit both longitudinal (d33) and transverse (d31) piezoelectric coefficients. However, the design of flexible cymbal structures that ensure efficient [...] Read more.
Cymbal piezoelectric energy harvesters offer an effective platform for converting mechanical vibrations into electrical energy due to their ability to exploit both longitudinal (d33) and transverse (d31) piezoelectric coefficients. However, the design of flexible cymbal structures that ensure efficient stress transfer to polymer-based piezoelectric materials remains insufficiently explored. In this study, a bridge-like cymbal harvester incorporating polyvinylidene fluoride (PVDF) films as the active layer was designed, fabricated, and experimentally investigated. To support the design process and reduce the computational burden associated with evaluating multiple geometric configurations, we developed a novel machine learning methodology that integrates singular value decomposition (SVD) with metamodeling. This framework provides rapid predictions of resonance behavior and electrical response from key design parameters. The findings demonstrate the feasibility of PVDF-based cymbal harvesters for flexible energy harvesting applications and establish an efficient data-driven approach for guiding future design optimization. Full article
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14 pages, 3729 KB  
Article
Research on Piezoelectric Guided Wave Frequency Diverse Array-Based Damage Location Method for Thin-Walled Structures
by Changlin Wang, Quanyao Hu and Yongteng Zhong
Micromachines 2025, 16(10), 1172; https://doi.org/10.3390/mi16101172 - 16 Oct 2025
Cited by 1 | Viewed by 705
Abstract
Phased array technology can be realized with directional control with fixed beam steering. However, its directionally dependent beam pattern limits the efficiency of suppressing undesirable distance interference. This paper presents a guided wave frequency diverse array-based damage location method for thin-walled structures. Firstly, [...] Read more.
Phased array technology can be realized with directional control with fixed beam steering. However, its directionally dependent beam pattern limits the efficiency of suppressing undesirable distance interference. This paper presents a guided wave frequency diverse array-based damage location method for thin-walled structures. Firstly, a guided wave frequency diverse array signal model is derived with a relatively small frequency increment that can achieve distance–direction two-dimensional focusing. Secondly, three types of receiving arrays, including a monostatic array, following array, and symmetric array, are constructed to achieve the maximum damage-induced signal amplitude. Finally, a two-dimensional multiple signal classification (MUSIC)-based damage location method is applied for damage imaging in thin-walled structures. Simulations on an aluminum plate and the experiments on an epoxy laminate plate demonstrate the validity and effectiveness of the proposed method. Full article
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