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University Training and Research (UTR) Program Research Efforts - Multiphase Flow Science is sponsored by Department of Energy (DOE) National Energy Technology Laboratory (NETL). This program supports research in multiphase flow science, an area where NETL has expertise, including the development of Multiphase Flow with Interphase eXchanges (MFiX), a suite of multiphase computational fluid dynamics code.
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University Training and Research (UTR) Program Research Efforts | Department of Energy University Training and Research (UTR) Program Research Efforts Research Efforts Since 2010 Since 2010, NETL has awarded 104 projects, a total of $33,840,649, through the University Training and Research program. A yearly breakdown is shown in Figure 3. In FY 2019, 105 students were affiliated with the University Training and Research program.
Of these students, 44 were affiliated with the HBCU-OMI program and 61 were affiliated with the UCR program. The University Training and Research project portfolio spans a wide array of technologies, as illustrated in Figures 4-6. Half of the projects focus on sensors, controls, novel concepts, or cybersecurity research.
These projects are part of the Crosscutting Research Sensors and Controls program. UTR projects in this program focus on five different research areas. Advanced Sensors are being developed to optimize plant performance, increase plant reliability, and increase plant availability.
Current work focuses on the development of passive wireless sensors for temperature and health monitoring, metal oxide nanomaterials for fiber optic sensor platforms, and active wireless microelectromechanical sensors.
Cybersecurity -focused projects explore emerging technologies such as blockchain and decentralized, peer-to-peer internet protocols for the purpose of securing process signal data and other information flows within distributed sensor networks for fossil-based power generation systems.
Data Analytics projects aim to develop novel, state of the art measurement techniques from non-traditional areas such as physical or biological sciences to determine both qualitatively and quantitatively the speciation and mass distribution of arsenic and selenium, both total and with valence states, as appropriate, within coal fly ash.
Distributed Intelligent Controls research is focused on creating advanced numerical methods for real-time modeling of energy components for the NETL HYPER cyber-physical system. Robotics-based Inspection technologies are being developed as an improvement over current state-of-the-art inspection methods, which are time-consuming and, in some cases, not possible due to process and safety constraints.
The remaining half of the projects are performing research relevant to Crosscutting Research’s High Performance Materials, Water Management, or Modeling, Simulation, and Analysis programs. The High Performance Materials projects focus on two research areas.
Advanced Structural Materials are being researched through the development of experimental methods to reduce the time and cost of initial testing and screening of new alloys for high temperature, long service life fossil energy applications.
In addition, novel high temperature carbide and boride ceramics are being designed and fabricated to support the development of electrodes for use in high temperature direct power extraction applications.
Computational Materials Design efforts aim to develop models to extrapolate creep life data to 300,000 hours of operation, enable high throughput ab-initio computations of multi-component alloy compositions at elevated temperatures, and employ advanced computational techniques to address the challenge of increased material deterioration due to a shift in operational mode from baseline steady state to cycling.
UTR projects that are part of the Modeling, Simulation, and Analysis program focus on two research areas. Advanced Process Simulation -focused projects are developing insight into existing coal plant challenges and mitigation solutions using advanced modeling tools and leveraging high performance computing resources. Multiphase Flow Science is an area in which NETL has world-class expertise.
NETL developed Multiphase Flow with Interphase eXchanges (MFiX), which is a suite of multiphase computational fluid dynamics code. Work in this area is implementing a general framework in MFiX for radiative heat transfer in gas-solid reacting flows.
Based on current listing details, eligibility includes: Universities are eligible; program includes components for HBCUs/minority institutions (HBCU-OMI) and university coal research (UCR). Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $33,840,649 total since 2010 across 104 projects Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Academic Grant Program is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals for the NVIDIA Graduate Fellowship Program are also invited, focusing on AI, robotics, and autonomous vehicles.
The Public Diplomacy Section (PDS) is pleased to invite eligible applicants to submit program ideas to implement the American Cybersecurity Enhancement Program (ACEP) for Thai Entrepreneurs. PDS Bangkok prioritizes selecting the best-qualified proposal from applicants that show clear alignment with and capability to advance shared goals and U.S. government priorities and interests, highlighting U.S. innovation, entrepreneurship, and leadership. Applicants must demonstrate their intent to effectively and efficiently administer U.S. government funds in a way that strengthens the bilateral relationship between the United States and Thailand. This notice is subject to the availability of funding. Goal - The ACEP aims to introduce and leverage American technology, innovation, and standards to improve cybersecurity systems and create a more secure and safer digital environment in Thailand, thereby strengthening partnership between Thailand and the United States. This program will assist and prepare Thai entrepreneurs in mitigating the risks and damages of cyberattacks, stolen data, and financial losses. Objectives - The ACEP focuses on enhancing Thai entrepreneurs’ knowledge and skills in cybersecurity and introducing more secure systems by learning from American approaches and companies. This program also creates opportunities for Thai businesses to gain firsthand experience in implementing advanced cybersecurity measures. It will also encourage and create favorable conditions for U.S. business and economic partnership in Thailand. Target Audience - 45-60 beginning to mid-level entrepreneurs and SMEs that have been in business for 1 to 5 years with an interest in improving data safeguarding and cybersecurity systems. Proposed program activities should demonstrate strong ties to U.S. expertise, technology, and companies. This can include partnerships with U.S. organizations, the involvement of U.S. experts in the project, or collaboration with U.S. businesses Funding Opportunity Number: OFOP0001959. Assistance Listing: 19.040. Funding Instrument: CA. Category: O. Award Amount: $35K – $60K per award.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.