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Micromachines
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Women in Micromachines
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Women in Micromachines

A topical collection in Micromachines (ISSN 2072-666X).

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Editors

Dr. Regina Luttge

E-Mail Website
Guest Editor
Chair Neuro-Nanoscale Engineering, Microsystems Section, Department of Mechanical Engineering, Institute of Complex Molecular Systems (ICMS), Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Interests: micro- and nanoscale assisted neuroscience and technology; micro- and nanofabrication; microfluidic applications; 3D brain-on-a-chip; organ-on-a-chip platforms; systems engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Anna Vikulina

E-Mail Website
Guest Editor
Department of Chemistry and Forensics, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK
Interests: drug delivery; gene delivery; liposomes; nanoparticles; functional materials; molecular diffusion; mass and heat transport simulation; cell sygnalling; cell death
Special Issues, Collections and Topics in MDPI journals
Dr. Xiao-Ying Yu

E-Mail Website
Guest Editor
Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
Interests: microfluidics; MEMS; in situ imaging; biointerfaces; electrochemistry; mass spectral imaging

Topical Collection Information

Dear Colleagues,

We are delighted to present this special collection of articles highlighting the achievements of women scientists in micro/nanoscale structures, materials, devices, and systems from all around the world. This Special Issue is devoted to presenting research performed by early and advanced-career female scientists.

Micromachines is a peer-reviewed open access journal concerning all aspects of micro/nanoscale structures, materials, devices, and systems, as well as related micro- and nanotechnology, from fundamentals to applications. Its Impact Factor has increased continuously in recent years, reaching 3.4 in 2022. Its primary areas of research interests include, but are not limited to, the following:

  • Micro/nanoscale structures, devices, systems, and applications;
  • Micro- and nanotechnologies for biological, chemical, medical, environmental, and energy applications;
  • Micro- and nanoscale fabrication and manufacturing technologies;
  • Theories and analyses of multiphysics phenomena in micro/nanoscale;
  • Material developments for micro- and nanostructures.

Communications, original research papers, and review articles are welcome. Biographies or articles celebrating outstanding women researchers are also welcome.

Articles where the lead authors are women, or that are completely authored by women, are encouraged. We welcome submissions from all authors, irrespective of gender.

Dr. Regina Luttge
Dr. Anna Vikulina
Dr. Xiao-Ying Yu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • MEMS
  • lab-on-a-chip
  • microfluidics
  • sensors
  • 3D printing
  • flexible electronics

Related Special Issues

Published Papers (3 papers)

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2024

17 pages, 3777 KiB  
Article
Three-Dimensionally Printed Microsystems to Facilitate Flow-Based Study of Cells from Neurovascular Barriers of the Retina
by Adam Leverant, Larissa Oprysk, Alexandra Dabrowski, Kelly Kyker-Snowman and Maribel Vazquez
Micromachines 2024, 15(9), 1103; https://doi.org/10.3390/mi15091103 - 30 Aug 2024
Viewed by 3355
Abstract
Rapid prototyping has produced accessible manufacturing methods that offer faster and more cost-effective ways to develop microscale systems for cellular testing. Commercial 3D printers are now increasingly adapted for soft lithography, where elastomers are used in tandem with 3D-printed substrates to produce in [...] Read more.
Rapid prototyping has produced accessible manufacturing methods that offer faster and more cost-effective ways to develop microscale systems for cellular testing. Commercial 3D printers are now increasingly adapted for soft lithography, where elastomers are used in tandem with 3D-printed substrates to produce in vitro cell assays. Newfound abilities to prototype cellular systems have begun to expand fundamental bioengineering research in the visual system to complement tissue engineering studies reliant upon complex microtechnology. This project used 3D printing to develop elastomeric devices that examined the responses of retinal cells to flow. Our experiments fabricated molds for elastomers using metal milling, resin stereolithography, and fused deposition modeling via plastic 3D printing. The systems were connected to flow pumps to simulate different flow conditions and examined phenotypic responses of endothelial and neural cells significant to neurovascular barriers of the retina. The results indicated that microdevices produced using 3D-printed methods demonstrated differences in cell survival and morphology in response to external flow that are significant to barrier tissue function. Modern 3D printing technology shows great potential for the rapid production and testing of retinal cell responses that will contribute to both our understanding of fundamental cell response and the development of new therapies. Future studies will incorporate varied flow stimuli as well as different extracellular matrices and expanded subsets of retinal cells. Full article
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13 pages, 3843 KiB  
Article
Motor Behavior Regulation of Rat Robots Using Integrated Electrodes Stimulated by Micro-Nervous System
by Jiabing Huo, Le Zhang, Xiangyu Luo, Yongkang Rao, Peili Cao, Xiaojuan Hou, Jian He, Jiliang Mu, Wenping Geng, Haoran Cui, Rui Cheng and Xiujian Chou
Micromachines 2024, 15(5), 587; https://doi.org/10.3390/mi15050587 - 28 Apr 2024
Cited by 1 | Viewed by 1267
Abstract
As a cutting-edge technology, animal robots based on living organisms are being extensively studied, with potential for diverse applications in the fields of neuroscience, national security, and civil rescue. However, it remains a significant challenge to reliably control the animal robots with the [...] Read more.
As a cutting-edge technology, animal robots based on living organisms are being extensively studied, with potential for diverse applications in the fields of neuroscience, national security, and civil rescue. However, it remains a significant challenge to reliably control the animal robots with the objective of protecting their long-term survival, and this has seriously hindered their practical implementation. To address this issue, this work explored the use of a bio-friendly neurostimulation system that includes integrated stimulation electrodes together with a remote wireless stimulation circuit to control the moving behavior of rat robots. The integrated electrodes were implanted simultaneously in four stimulation sites, including the medial forebrain bundle (MFB) and primary somatosensory cortex, barrel field (S1BF). The control system was able to provide flexibility in adjusting the following four stimulation parameters: waveform, amplitude, frequency, and duration time. The optimized parameters facilitated the successful control of the rat’s locomotion, including forward movement and left and right turns. After training for a few cycles, the rat robots could be guided along a designated route to complete the given mission in a maze. Moreover, it was found that the rat robots could survive for more than 20 days with the control system implanted. These findings will ensure the sustained and reliable operation of the rat robots, laying a robust foundation for advances in animal robot regulation technology. Full article
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13 pages, 4980 KiB  
Article
Multi-Step Mechanical and Thermal Homogenization for the Warpage Estimation of Silicon Wafers
by Zhouyi Xiang, Min Chen, Yonghui Deng, Songhua Huang, Sanli Liu and Ji Li
Micromachines 2024, 15(3), 408; https://doi.org/10.3390/mi15030408 - 18 Mar 2024
Viewed by 1729
Abstract
In response to the increasing demand for high-performance capacitors, with a simultaneous emphasis on minimizing their physical size, a common practice involves etching deep vias and coating them with functional layers to enhance operational efficiency. However, these deep vias often cause warpages during [...] Read more.
In response to the increasing demand for high-performance capacitors, with a simultaneous emphasis on minimizing their physical size, a common practice involves etching deep vias and coating them with functional layers to enhance operational efficiency. However, these deep vias often cause warpages during the processing stage. This study focuses on the numerical modeling of wafer warpage that occurs during the deposition of three thin layers onto these vias. A multi-step mechanical and thermal homogenization approach is proposed to estimate the warpage of the silicon wafer. The efficiency and accuracy of this numerical homogenization strategy are validated by comparing detailed and homogenized models. The multi-step homogenization method yields more accurate results compared to the conventional direct homogenization method. Theoretical analysis is also conducted to predict the shape of the wafer warpage, and this study further explores the impact of via depth and substrate thickness. Full article
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