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University (74.3K)Company (142)Research Institution (8)Other (3)Investor (2)Hospital (1)
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Research Grant
Award Number1954443Funding AgencyNational Science FoundationEffective Date2019-11-01Expiration Date2020-04-30Funding Amount$3,000
Non-technical summary:The study of thermoelectric materials - which enable the solid-state conversion of thermal energy into electrical energy - has grown immensely in the past decade. What was once a niche research area has transformed into diverse field spanning condensed matter physics, materials science and engineering and solid-state chemistry. The complexity of the topic (fundamentally, the study of electronic and thermal transport in a broadly defined group of materials) means tha…
Research Grant
Award Number1924635Funding AgencyNational Science FoundationEffective Date2019-11-01Expiration Date2020-10-31Funding Amount$30,000
This grant is to provide travel support for ~30 US-based researchers to attend The 10th USA-China Joint Chemical Engineering Conference, Chengdu, China, May 25-29, 2020. The theme of the conference is Chemical Engineering for Clean and Sustainable Energy and a special emphasis will be placed on not only the role of chemical engineers in the development of clean and sustainable chemical and energy processes, but also exploring the frontiers for developing fundamentals needed to tackle these en…
Research Grant
Award Number1923218Funding AgencyNational Science FoundationEffective Date2019-12-01Expiration Date2022-11-30Funding Amount$234,763
The trace element manganese (Mn) is distributed widely throughout the global ocean where it cycles among three dominant oxidation states. Manganese in the higher oxidation states is highly reactive and thereby influences the cycling of nearly all other elemental cycles, including those of oxygen and nitrogen. The intermediate Mn species has only recently become recognized as an abundant component of the Mn pool, presenting now a previously unrecognized factor that may control the chemistry of…
Research Grant
Award Number1930645Funding AgencyNational Science FoundationEffective Date2019-12-01Expiration Date2022-11-30Funding Amount$498,643
Access to original research data supports innovative, interdisciplinary, and integrative research, and enables replication and review of prior work. Consequently, a growing number of funding agencies, journal publishers, and scientific societies now require that original research data must be shared and archived promptly after its collection or publication. However, there are still many unanswered questions about the best way to share and archive research data. For instance: how can data repo…
Research Grant
Award Number1945322Funding AgencyNational Science FoundationEffective Date2019-10-15Expiration Date2020-09-30Funding Amount$25,185
9th Workshop on Parallel-in-Time IntegrationMichigan Technological University Houghton, Michigan June 8-12,2020.http://conferences.math.mtu.eduComputer models and simulations play a central role in the study of complex systems in engineering, life sciences, medicine, chemistry, and physics. Utilizing modern supercomputers to run models and simulations allows for experimentation in virtual laboratories, thus saving both time and resources. Although the next generation of su…
Research Grant
Award Number1934348Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2024-09-30Funding Amount$281,708
The objective of this Growing Convergence Research project is to lay the foundations for a convergent, transdisciplinary field of study focused on understanding transitions in socio-technological systems. This project aims to converge social science theories of values and motivation with engineering and economics understandings of technological feasibility to develop a comprehensive understanding of how and why energy systems, in particular, are reconfigured to include renewable energy resour…
Research Grant
Award Number1930041Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2023-09-30Funding Amount$825,796
Connected and Automated Vehicle (CAV) technologies enable real-time information sharing and driving automation, with the potential of significantly improving safety and efficiency of the transportation system. However, cyber-security threats may compromise the efficiency of infrastructure operations and the safety of passengers, posing a significant challenge for CAV deployment. This collaborative project develops a novel CAV testing platform to address the critical needs for assessing the se…
Research Grant
Award Number1935633Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2020-09-30Funding Amount$99,907
This project will contribute to the national need for well-educated engineers and technicians in production engineering. It will do so by supporting workshops on mechatronics education. Mechatronics is a multidisciplinary/ interdisciplinary science that integrates knowledge from electronics, mechanics, control theory, and computer science. An industrial robot is an example of a mechatronics system. Hybrid systems important to mechatronics include production systems, automotive subsystems such…
Research Grant
Award Number1939006Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2021-09-30Funding Amount$199,997
This project aims to tackle some of the most significant challenges facing the design and adoption of risk-informed cyber insurance policies; these challenges include cyber risk interdependence, correlated risk and value-at-risk, and a fast-changing threat landscape. The research has the potential to bring about a paradigm shift in the design of cyber insurance policies so that they are used as effective economic and incentive mechanisms consistent with cyber risk realities; in doing so it al…
Research Grant
Award Number1940059Funding AgencyNational Science FoundationEffective Date2019-10-01Expiration Date2021-09-30Funding Amount$200,000
Mitigating the effects of climate change on public health and conservation calls for a better understanding of the dynamic interplay between biological processes and environmental effects. The state-of-the-art, which has led to many important discoveries, utilizes numerical or statistical models for making predictions or performing in silico experimentation, but these techniques struggle to capture the nonlinear response of natural systems. Machine learning (ML) methods are better able to cop…