Artificial Intelligence and Machine Learning for Ceramics and Glasses
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 was 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 aimed to not only showcase cutting-edge research and developments in the field but to provide a practical guide for incorporating ML into materials science research. Specific topics covered in this workshop included:
- 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.
Note: The sessions were 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