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CHIPS AI/AE for Rapid, Industry-informed Sustainable Semiconductor Materials and Processes (CARISSMA) Competition

This funding opportunity provides financial support for U.S. universities and research organizations to collaborate on developing sustainable semiconductor materials and processes using artificial intelligence, with a focus on enhancing industry practices and workforce skills.

Contact for amount
Closed
Nationwide
Grant Description

The National Institute of Standards and Technology (NIST) is accepting applications for the CHIPS AI/AE for Rapid, Industry-informed Sustainable Semiconductor Materials and Processes (CARISSMA) Competition. This program supports research and development efforts to enhance the sustainability of semiconductor materials and processes through artificial intelligence-powered autonomous experimentation (AI/AE). It seeks to foster collaboration between industry and universities to accelerate the discovery, design, synthesis, and adoption of advanced materials while addressing workforce development in semiconductor manufacturing. Awards will focus on projects that contribute to the long-term viability of domestic semiconductor manufacturing, aligning with technological, economic, and sustainability goals. Supported activities include research, education, workforce training, and other initiatives critical to advancing industry standards. Eligible applicants include domestic accredited institutions of higher education and organizations managing consortia of such institutions. Applicants must be incorporated and have their principal place of business in the United States or U.S. territories. Eligible subrecipients include accredited higher education institutions, for-profit and nonprofit organizations, government entities, Federally Funded Research and Development Centers, and foreign partners. Vendors providing goods or services are not considered subrecipients. Applicants are limited to one concept paper submission. If invited, they may submit one full application. The application deadline is January 13, 2025, with the anticipated number of awards set at 10. Funding is contingent on availability, and no cost-sharing or matching is required. This program emphasizes the integration of AI/AE in sustainable semiconductor processes, promoting innovation and fostering a pipeline of researchers equipped to advance industry sustainability. For additional details or assistance, contact Misty L. Roosa, Management Analyst, at the National Institute of Standards and Technology.

Funding Details

Award Range

Not specified - Not specified

Total Program Funding

Not specified

Number of Awards

10

Matching Requirement

No

Eligibility

Eligible Applicants

Private institutions of higher education
Nonprofits
For profit organizations other than small businesses

Additional Requirements

Under this NOFO, eligible applicants are domestic accredited institutions of higher education and domestic non-profit or for-profit organizations that manage consortia of accredited institutions of higher education. A domestic entity is one that is incorporated within the United States (including a U.S. territory) with its principal place of business in the United States (including a U.S. territory). Eligible applicants may submit only one concept paper and, if invited, one full application. Eligible subrecipients under this NOFO include accredited institutions of higher education; for-profit organizations or non-profit organizations; State, local, territorial, and Tribal governments; Federally Funded Research and Development Centers; Federal entities; foreign partners; and other entities eligible to participate as applicants. Eligible subrecipients may participate in multiple applications. Vendors selling goods or services in the ordinary course of business are not considered subrecipients under this NOFO.

Geographic Eligibility

All

Key Dates

Application Opens

Not specified

Application Closes

January 13, 2025

Contact Information

Grantor

US Department of Commerce (National Institute of Standards and Technology)

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Categories
Science and Technology