The workshop will explore how advanced data platforms are accelerating discovery and application in the field of Materials for Energy. Speakers will present established and emerging frameworks – including IEMAP and Energy-GNoME – illustrating how AI and data integration are reshaping materials.
The session will demonstrate how integrating diverse data sources and machine learning workflows enables breakthroughs in material design, energy storage, and efficiency optimization. Critical challenges will be addressed, offering a balanced view of both technical barriers and strategic opportunities in a data-intensive landscape. By shedding light on the unique contributions of each platform, a comprehensive understanding of how to leverage integrated data solutions to push the boundaries of energy materials science will be illustrated.