CHIPS AI/AE for Rapid, Industry-informed Sustainable Semiconductor Materials and Processes (CARISSMA) Competition
ID: 356912Type: Posted
Overview

Buyer

National Institute of Standards and Technology (DOC-NIST)

Eligible Applicants

Others

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Other

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Original Source

https://grants.gov/search-results-detail/356912
Timeline
    Description

    The National Institute of Standards and Technology (NIST) is inviting applications for the CHIPS AI/AE for Rapid, Industry-informed Sustainable Semiconductor Materials and Processes (CARISSMA) Competition, aimed at fostering collaborations that leverage artificial intelligence and autonomous experimentation to enhance sustainable semiconductor manufacturing. This initiative seeks to support research and development, education, and workforce development in the semiconductor sector, with a focus on integrating sustainability metrics and accelerating the discovery and adoption of innovative materials and processes. With a total funding of approximately $100 million available over a maximum of five years, eligible applicants include domestic accredited institutions of higher education, non-profit and for-profit organizations, and industry consortia, with concept papers due by January 13, 2025. Interested parties can reach out to Misty L Roosa at grants@nist.gov for further information.

    Point(s) of Contact
    grants@nist.gov
    Files
    Title
    Posted
    AI_AE.pdf
    The CHIPS AI/AE for Rapid, Industry-informed Sustainable Semiconductor Materials and Processes (CARISSMA) Competition, initiated by the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST), seeks applications for collaborative research incorporating artificial intelligence (AI) and autonomous experimentation (AE) to advance sustainable semiconductor manufacturing. The program aims to foster partnerships between universities and industries, enhancing the development and implementation of sustainable materials and processes over a maximum of five years, with a total funding of approximately $100 million. The key objectives include accelerating research delivery, integrating sustainability metrics into semiconductor design, expanding the capabilities of emerging research institutions, and creating a skilled workforce in AI/AE. Eligible participants include accredited U.S. educational institutions, non-profits, and industry consortia, while leveraging optional co-investments is encouraged. Applicants must submit concise concept papers, followed by full applications for those invited based on evaluations. The initiative aligns with the CHIPS Act's goals to strengthen domestic semiconductor capabilities in response to environmental and economic pressures, ultimately emphasizing sustainable practices within the industry.
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