GenAI is evolving at an exceptional pace and offers significant potential to accelerate scientific discovery. At the same time, scientific applications pose unique and often unmet challenges for current models. Addressing these challenges will not only expand the role of GenAI in science but also help drive its future development in response to the needs of scientific inquiry—particularly through the integration of scientific knowledge into GenAI frameworks.

This workshop will focus on advancing the methodological foundations of GenAI for scientific discovery, with a particular emphasis on approaches that incorporate domain knowledge, physical laws, and theoretical constraints.

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