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Micromachines
Special Issues
Optical and Laser Material Processing, 3rd Edition
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Optical and Laser Material Processing, 3rd Edition

A Special Issue of Micromachines (ISSN 2072-666X) belonging to the section "D: Materials and Processing".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 251

Editors

Prof. Dr. Yuankun Lin

E-Mail Website
Guest Editor
1. Department of Physics, University of North Texas, Denton, TX 76203, USA
2. Department of Electrical Engineering, University of North Texas, Denton, TX 76203, USA
Interests: nanofabrication; nanophotonics; metasurfaces; laser holographic fabrication; applied optical materials; 2D semiconductors
Special Issues, Collections and Topics in MDPI journals
Dr. Yuzhe Xiao

E-Mail Website
Guest Editor
Department of Physics, University of North Texas, Denton, TX 76203, USA
Interests: nanophotonics; ultra-fast laser; quantum plasmonics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Products and services based on nanotechnology are becoming increasingly important to our economy and so is the optical and laser processing and manufacturing technology that produces them. Two- and three-dimensional nanofabrication can be addressed using both top-down and bottom-up approaches. Bottom-up approaches have enabled large-scale additive and selective laser manufacturing. Top-down methods (including EUV lithography) have resulted in computer chip manufacturing. Combining top-down and bottom-up approaches can facilitate the integration of different dimensions and scales in optical and laser material processing, including the direct laser writing of 2D-layered materials in patterns. Thus, this Special Issue seeks to showcase research papers and reviews on new developments in optical and laser material processing for micro- and nano-scale manufacturing.

We look forward to receiving your submissions.

Prof. Dr. Yuankun Lin
Dr. Yuzhe Xiao
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 special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 2100 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

  • material-based micro/nano structures and devices
  • optical and laser material processing
  • optical- and laser-based nano/micro-fabrication
  • 2D and bulk material processing

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Published Papers (1 paper)

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Research

35 pages, 3409 KB  
Article
Predicting Impact Loads on Polymer Materials from Laser-Induced Cavitation Bubble Collapse Using Random Forest Regression
by Muhammad Farkhan Abdillah and Kazuaki Inaba
Micromachines 2026, 17(9), 1083; https://doi.org/10.3390/mi17091083 - 15 Sep 2026
Viewed by 129
Abstract
Cavitation bubble collapse generates impact loads that can initiate surface damage and accelerate material degradation in hydraulic and fluid-handling systems. Predicting these loads remains challenging because the collapse response depends on nonlinear interactions among bubble dynamics, stand-off distance, and polymer mechanical, acoustic, and [...] Read more.
Cavitation bubble collapse generates impact loads that can initiate surface damage and accelerate material degradation in hydraulic and fluid-handling systems. Predicting these loads remains challenging because the collapse response depends on nonlinear interactions among bubble dynamics, stand-off distance, and polymer mechanical, acoustic, and viscoelastic properties. This study developed machine-learning regression models to predict impact loads from laser-induced single-bubble collapse on polyethylene, polytetrafluoroethylene (PTFE), polyamide, and antistatic polyethylene terephthalate (antistatic PET). Experiments were performed using a pulsed Nd:YAG laser at energies of 12.5, 25, and 50 mJ and normalized stand-off distances of γ = 1–5, producing 180 measurements. Impact loads were measured using a force-calibrated PVDF sensor with material-specific calibration equations. Bubble radius was obtained from high-speed imaging, whereas collapse time was determined from the PVDF voltage-time response. Thirteen input variables were used to train linear, ridge, LASSO, multilayer perceptron, and random forest regressors with Bayesian optimization and grouped five-fold cross-validation. Random forest regression achieved the best performance, with RMSE=0.6820N, MAE=0.5339N, R2=0.9168, and MAPE=12.44%. SHAP analysis identified collapse time, acoustic impedance, and loss modulus as dominant predictors. The model is therefore suitable for trend prediction within the tested experimental domain. Full article
(This article belongs to the Special Issue Optical and Laser Material Processing, 3rd Edition)
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