AI Chips & Infrastructure
Purdue Wins $19M NSF Grant for AI Materials Lab
Researchers will build the ICoN-PCL cloud platform to accelerate discovery for semiconductors and aerospace systems.
A modern laboratory setting showing computer screens with complex 3D material simulations and semiconductor research data.
Photo: Kronos Digital News
Purdue University researchers received a $19 million grant from the National Science Foundation to lead a new cloud-based laboratory project [1]. Known as ICoN-PCL, the platform focuses on developing programmable materials using advanced digital tools [1]. The project aims to integrate artificial intelligence with remote physical simulations to speed up research [1].
This initiative targets critical industries including semiconductors, aerospace, and energy systems [1]. By using AI-driven tools, the team hopes to discover new materials more efficiently than traditional methods [1]. The platform will provide researchers with remote access to high-tech simulation capabilities [1].
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The report relies on a single source from the subject institution (Purdue University).
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