AI for Nanoscience: From Literature Mining to Intelligent Discovery

Le résumé fourni par la source

The scientific publishing landscape is undergoing a fundamental transformation as artificial intelligence reshapes how researchers engage with the literature. This talk explores the convergence of AI and scholarly publishing, with a focus on applications in nanoscience and the broader physical sciences. We present how Wiley is deploying AI-powered tools to move beyond traditional keyword search toward intelligent, context-aware discovery. Central to this vision is the Scholar Gateway, a retrieval-augmented platform that enables researchers to query curated collections of peer-reviewed content using natural language, receiving precise, citation-backed answers grounded in the published literature rather than generic model outputs. Through live demonstrations, we illustrate how these technologies transform the way researchers engage with published knowledge, reducing time from question to insight while maintaining the rigour and traceability that scientific inquiry demands. Finally, we outline the publishing industry's broader vision: a future where AI serves not as a replacement for peer review and editorial curation, but as an amplifier - transforming publishers from gatekeepers of static documents into providers of living, queryable knowledge infrastructure that accelerates scientific discovery.

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