Research Research projects AI and data co-driven materials discovery for advanced energy conversion and wearable systems This project will provide hands-on experience with some of the most exciting and rapidly evolving technologies in materials science today. Join our team and be at the forefront of the field, making new discoveries and pushing the boundaries of what's possible. school Student intakeThis project is open for Honours, Master, PhD and Summer scholar students. group Group Groups Yin Group label Research theme Research themes Computational and Theoretical Chemistry traffic Project status Project status Potential Contact contact_support Contact Contact name Zongyou Yin Contact position Group Leader Contact email Zongyou.Yin@anu.edu.au Content navigation toc About Are you excited about the potential of machine learning to revolutionize materials science? Join our team to develop a cutting-edge method that combines high-throughput computation and active machine learning to screen for targeted nano-to-atomic materials with customized properties and functionalities. This approach has the potential to greatly accelerate the discovery of new functional materials and guide experimentation. In this Honours/Master project, you will work on the development of this innovative approach, using data-driven computation and AI-driven machine learning to identify materials with desired properties. You will have the opportunity to tailor the project direction to your interests. This project will provide hands-on experience with some of the most exciting and rapidly evolving technologies in materials science today. Join our team and be at the forefront of the field, making new discoveries and pushing the boundaries of what's possible.