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Laser Micromachining for Polymer Surface Topography Design
05:49

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Intelligent Laser Micro/Nano Processing: Research and Advances.

Yu-Xin Liu1, Wei Gong1, Fan-Gao Bu1

  • 1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China.

Nanomaterials (Basel, Switzerland)
|October 15, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI), specifically machine learning (ML), enhances laser micro/nano processing by improving manufacturing modeling and anomaly detection. This integration addresses complex challenges in laser manufacturing for better outcomes.

Keywords:
in situ detectionlaser micro/nano processingmachine learningpredictive modeling

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Area of Science:

  • Materials Science and Engineering
  • Manufacturing Technology
  • Artificial Intelligence

Background:

  • Traditional laser manufacturing faces challenges due to complex laser-matter interactions, leading to unpredictable outcomes and defects.
  • Multi-step laser processes are prone to accumulating micro/nano defects, potentially causing catastrophic failures.
  • Existing methods struggle with precise control over laser micro/nano processing outcomes.

Purpose of the Study:

  • To review the integration of machine learning (ML) in laser micro/nano processing.
  • To explore how ML addresses challenges in laser manufacturing.
  • To summarize current advancements and future directions in this interdisciplinary field.

Main Methods:

  • Integration of data-driven and physics-driven modeling.
  • Implementation of intelligent in situ monitoring.
  • Application of adaptive control techniques in laser processing.

Main Results:

  • Machine learning demonstrates exceptional performance in manufacturing process modeling and parameter optimization.
  • AI-driven approaches enable real-time anomaly detection, mitigating process failures.
  • The synergy of ML with laser processing enhances control and reduces defects.

Conclusions:

  • Machine learning offers significant intelligent capabilities for next-generation laser micro/nano processing.
  • ML-powered techniques effectively overcome traditional limitations in laser manufacturing.
  • Future research holds promise for advanced applications driven by AI in laser technology.