MRS and ACerS AI Workshop Header

Ai and ML for Ceramics and Glasses Workshop

The realm of materials science stands at the forefront of a wave wherein machine learning (ML) and artificial intelligence (AI) are playing revolutionizing roles. This joint MRS/ACerS workshop is designed to offer insights into the integration of ML and AI in the field of materials science especially for ceramics and glasses, offering a platform for researchers to delve into applications of ML and AI in understanding, developing and optimizing materials. This workshop will not only showcase cutting-edge research and developments in the field but it also aims to provide a practical guide for incorporating ML into materials science research.  Specific topics covered in this workshop include:

  • Get Started with Materials and ML
    Covering data handling, foundational ML concepts, and how it can be applied in materials research

  • ML and Materials Synthesis
    How ML is enabling the discovery of novel materials, the integration of AI in automated laboratories, and the development of self-driving labs

  • ML and Materials Modeling
    How ML assists atomic-scale simulations, microstructure modeling, macroscopic property predictions, and advancements in simulating materials behaviors

  • ML and Materials Characterization
    Integration of ML in cutting-edge materials characterization tools such as microscopy, spectroscopy, and synchrotron for faster interpretation of complex data and accelerated physics discovery
      

Who Should Attend:

  • Materials scientists interested in leveraging ML and AI in their work
  • AI specialists interested in applying ML in the physical sciences
  • Graduate students interested in ML for materials science and physical sciences and engineering
  • Industry professionals exploring innovative solutions for enhancement and productivity
  • Others interested in ML and materials science.

 

Join us in this exciting workshop to gain insights into the latest research and engage with pioneers in the intersection between ML and materials science. Note: The sessions will be recorded and made available to event registrants post-event.
  

March 26, 2024 | 11:00 AM - 2:30 PM ET
March 27, 2024 | 11:00 AM - 2:30 PM ET
  

Registration

Regular Rate—$125
MRS/ACerS Member Rate—$100
Student Rate—$45
MRS/ACerS Student Rate—$25
 

Register Today


   
   

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