CHEME 6820

AI for Materials

Course Description

Course information provided by the Courses of Study 2024-2025.

This course module of CHEME 6888 focuses on the application of artificial intelligence (AI) in materials science. Students will explore how AI and machine learning techniques can accelerate the design, discovery, and optimization of materials for energy storage, conversion, and sustainability. Key topics include using AI to predict material properties, enhance materials synthesis, and model complex material behaviors. The course emphasizes practical applications of deep learning models in materials science, featuring hands-on projects and case studies from recent research. Students will also discuss the challenges and opportunities of applying AI to advance innovations in materials science.

When Offered Spring.

Course Attribute (CU-SBY)

• Understand the role of AI in advancing materials discovery and development.
• Apply deep learning models to predict material properties and outcomes in materials science.
• Analyze case studies of successful AI-driven materials discoveries.
• Identify challenges and emerging trends in the use of AI for materials innovations.

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