AI in Laser Materials Processing

Special Issue Editor


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Guest Editor
The College of Optics & Photonics, University of Central Florida, 4304 Scorpius St., Orlando, FL 32816-2700, USA
Interests: laser materials processing; ultrafast laser; laser-matter interaction; laser-induced photo-physics and photo-chemistry; two-photon polymerization; beam shaping; nanolithography; additive manufacturing; modeling and simulation of laser materials processing

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) is transforming laser materials processing by enabling smarter, more efficient, and adaptive manufacturing. AI-driven approaches, including machine learning, physics-informed modeling, and real-time process control, are rapidly transforming laser-based manufacturing by improving process stability, optimizing parameters, and enabling autonomous decision-making.

In this Special Issue of Journal of Manufacturing and Materials Processing (JMMP) , we seek recent advances in AI-enhanced laser materials processing, including innovations in data-driven modeling, in situ monitoring, and adaptive control strategies. We welcome contributions that address fundamental and applied research aimed at improving process understanding, enhancing material performance, and expanding the capabilities of laser-based manufacturing techniques.

We are particularly interested in research topics such as:

  • AI-driven process optimization for laser cutting, welding, drilling, and additive manufacturing.
  • Machine learning for real-time monitoring and defect detection in laser processing.
  • Predictive modeling and digital twins for laser–material interactions.
  • AI-enhanced control strategies for adaptive and autonomous laser machining.
  • Data-driven insights into material behavior and process dynamics in laser processing.

Dr. Xiaoming Yu
Guest Editor

Manuscript Submission Information

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Keywords

  • artificial intelligence
  • machine learning
  • digital twins
  • real-time monitoring
  • physics-informed optimization
  • laser machining
  • additive manufacturing

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Published Papers

This special issue is now open for submission.
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