The recent Materials Informatics Conference spotlighted cutting-edge AI and machine learning applications in materials research.
Nguyen Huu Doanh, a student at VinUniversity, presented an impressive poster titled “AI/ML Advances in Screening Lithium-Ion Battery (LIB) Materials: A Guide to Electrodes and Electrolytes.” Doanh’s work showcased recent breakthroughs in applying AI/ML to LIB research and design. His poster outlined innovative procedures for using ML models to extract key properties of LIB materials and explore new possibilities.
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The conference concluded with a highly practical tutorial session led by experts Dr. Huan Tran and Dr. Vu Ngoc Tuoc. Participants received hands-on guidance in training ML models and extracting features from materials data. This session provided valuable insights into various models and methods, offering a solid foundation for applying AI/ML in materials research.
These events highlight the crucial role of AI and machine learning in advancing materials science, especially in vital areas like energy storage. The combination of student innovation and expert guidance demonstrates the field’s dynamic and collaborative nature.
As AI/ML continues to push the boundaries of materials science, conferences like this play a pivotal role in knowledge exchange and inspiring future technological breakthroughs.
