Multimodal learning stands at the cutting edge of AI research, revolutionizing fields such as medical science and text-to-speech conversion. Materials science datasets often encompass diverse data types and critical feature nuances, presenting a distinctive and exciting opportunity to extend the development and application of multimodal learning architectures to tackle scientific challenges.
The MultiModal Learning for Materials Science (MM4Mat) workshop aspires to shape and nurture interdisciplinary discussions and collaborations between machine learning experts and materials scientists. By bringing together world-leading experts in multimodal AI and data-driven materials discovery, this workshop will highlight innovative methodologies and their real-world applications in materials science.
Key topics of focus include:
- Multimodal Architectures: Strategies for integrating diverse materials science data.
- Encoder and Decoder Design: Tailored solutions for important materials science modalities.
- Real-World Applications: Demonstrating impactful uses of multimodal learning in materials science.
Date: June 11 or 12, 2025 (date tbd)
Location: Music City Center, Nashville, Tennessee
For more information contact the Workshop Organizer Prof. Helge Stein or visit https://sites.google.com/view/mm4mat
Join us as we advance the intersection of AI and materials science, fostering innovation and collaboration!