Polymeric Solutions Impact in Ohio's Smart Manufacturing

GrantID: 669

Grant Funding Amount Low: Open

Deadline: Ongoing

Grant Amount High: Open

Grant Application – Apply Here

Summary

If you are located in Ohio and working in the area of Education, this funding opportunity may be a good fit. For more relevant grant options that support your work and priorities, visit The Grant Portal and use the Search Grant tool to find opportunities.

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Grant Overview

Ohio's Priority Outcomes for Machine Learning and Materials Science Internship Grant Ohio's economic development is closely tied to its manufacturing sector, with a strong presence of industries such as aerospace, automotive, and energy. The state's research institutions and universities are also recognized for their expertise in materials science and engineering. The Ohio Department of Development's Office of Innovation is a key state agency that supports the growth of innovation and technology in the state. One of the priority outcomes for this grant is to leverage machine learning frameworks to design new organic monomers for high-temperature polyimides, which could lead to breakthroughs in various industries, including aerospace and energy. The Appalachian region in Ohio, with its rich natural resources and history of industrial activity, is a geographic feature that distinguishes the state and presents opportunities for innovation. The development of new materials with high glass transition temperature, high thermo-oxidative stability, and lower processing viscosity could have a significant impact on the state's manufacturing sector, enabling the production of more efficient and sustainable products. The grant's focus on machine learning and materials science aligns with Ohio's strengths in these areas, and the state's research institutions, such as the University of Akron and Case Western Reserve University, are well-positioned to support the internship project. The Ohio Third Frontier program is another key initiative that provides funding and support for technology-based startups and small businesses, and could potentially be a resource for companies looking to commercialize new materials developed through this grant. In terms of specific outcomes, the grant is expected to result in the development of new organic monomers with improved properties, as well as a better understanding of the machine learning frameworks and algorithms that can be used to design these materials. The grant's focus on internships also aligns with Ohio's efforts to develop its workforce and support the growth of a skilled talent pipeline in the fields of science, technology, engineering, and mathematics (STEM). To achieve these outcomes, the grantee will need to work closely with Ohio-based research institutions and companies, and leverage the state's resources and expertise in materials science and machine learning. The grantee can also tap into the state's network of small business support organizations, which provide resources such as business planning, market research, and access to funding. For example, the Ohio Small Business Development Centers provide free business consulting and low-cost training to small businesses, and could be a valuable resource for companies looking to commercialize new materials. Businesses and organizations in Ohio can access various resources to support their grant applications and projects. For instance, the state of Ohio offers various grant programs and funding opportunities for small businesses, including the Ohio Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Matching Funds program, which provides funding to small businesses that have received SBIR or STTR awards. Additionally, the Ohio Department of Development's Office of Business Development provides support for businesses looking to expand or relocate to Ohio, and can provide information on available grants and other resources. When applying for the Machine Learning and Materials Science Internship grant, applicants should be aware of the key priorities and outcomes that the funder is looking to achieve. By understanding these priorities and outcomes, applicants can tailor their proposals to meet the funder's needs and increase their chances of success. Q: What are the key outcomes that the funder is looking to achieve through the Machine Learning and Materials Science Internship grant in Ohio? A: The funder is looking to achieve the development of new organic monomers with improved properties, as well as a better understanding of the machine learning frameworks and algorithms that can be used to design these materials. Q: How can Ohio-based businesses and organizations access resources to support their grant applications and projects? A: Ohio-based businesses and organizations can access resources such as the Ohio Small Business Development Centers, which provide free business consulting and low-cost training to small businesses. Q: What is the significance of the Appalachian region in Ohio for this grant? A: The Appalachian region in Ohio is a geographic feature that distinguishes the state and presents opportunities for innovation, particularly in the development of new materials and technologies.

Eligible Regions

Interests

Eligible Requirements

Grant Portal - Polymeric Solutions Impact in Ohio's Smart Manufacturing 669

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