Project Grant N000142412342

This Project Grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) provides $338,078 to Purdue University from October 2021 through September 2024 to advance multifidelity modeling and simulation techniques for engineering design under uncertainty. The award supports the development of novel methods to extract and adapt physics-based information encoded in field responses from computational models of varying fidelity. This will be achieved by combining...

The National Science Foundation awarded a $255,558 Project Grant to Ocean Motion Technologies Inc. under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant supports the company's efforts to leverage machine learning techniques to optimize the efficiency and energy capture of ocean-based renewable power generation. Specifically, the company will utilize reinforcement learning to develop an advanced control model that adjusts wave energy capture device hardware based...

This National Science Foundation (NSF) CAREER (Faculty Early Career Development) award, funded under the NSF Engineering program (CFDA 47.041), supports the development of a new approach to multifidelity scientific machine learning for engineering design. The $599,972 project will create machine learning models that can leverage both high-fidelity and low-fidelity computational simulations to enable more optimal and robust product designs across domains like space missions, biomedical devices,...

This Project Grant award from the National Science Foundation's (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under CFDA Program 47.041 (Engineering) provides $373,217 to the University of Maryland, College Park to study the 3D fluid mechanics and fluid-structural mechanics generated by caudal (rear) fins with non-uniform stiffness distributions. The goal is to understand how these mechanisms can be leveraged to enhance efficiency and agility in bio-inspired...

This $1,309,436.00 federal Project Grant was awarded by the Office of Naval Research (ONR) under the Basic and Applied Scientific Research program (CFDA 12.300) to support the "MURI MACHINE LEARNING ENABLED TWO-PHASE FLOW METROLOGIES, MODELS, AND OPTIMIZED DESIGNS (METHODS)" research project. The award, effective August 1, 2024, with a completion date of July 31, 2027, will fund fundamental and applied research on advancing machine learning techniques for two-phase flow measurement,...

The U.S. Office of Naval Research (ONR) awarded Concept To Capability Research LLC, a for-profit limited liability company, a $723,139.04 Project Grant under the Basic and Applied Scientific Research program (CFDA 12.300). The purpose of this 3-year award, effective October 1, 2024, is to develop advanced algorithms using artificial intelligence and deep machine learning for seabed mapping and characterization. This research aims to enhance naval operations and maritime capabilities through...

This $634,514 National Science Foundation Engineering grant funds research at Florida Atlantic University from February 2022 to January 2027. The university will develop physics-reinforced data-driven prognostics and co-design tools to advance monitoring and design of marine hydrokinetic energy systems such as marine current turbines and wave energy converters. Researchers will address data scarcity, quality, and concept drift challenges through knowledge transfer and graph learning models...

The Department of the Navy Secretary of the Navy Office of Naval Research awarded a $248,800 Project Grant to Stichting Maritiem Research Instituut Nederland, operating as Marin, to support IN-FLIGHT TESTING AND CONTROL OF CAVITATION AND VENTILATION ON A SURFACE-PIERCING FOIL from June 25, 2021 through September 30, 2021. The grant supports applied scientific research under the Basic and Applied Scientific Research program (CFDA 12.300), which aims to improve naval operations through...

This federal Project Grant award from the Office of Naval Research (ONR) under the Basic and Applied Scientific Research program (CFDA 12.300) provides $129,931 to the University of Rhode Island (URI) to develop hardware-accelerated machine learning (ML)-aided electronic design automation (EDA) for integrated power electronics building blocks (IPEBB). The project aims to advance naval capabilities in power electronics through innovative research on ML-driven EDA tools. Key products or services...

This Project Grant from the Department of the Navy's Office of Naval Research will fund the establishment of a GPU/CPU cluster to support research at the University of Maryland Center for Machine Learning. With $499,835 in funding over a period of 15 months from August 2021 through December 2022, the cluster infrastructure will advance the Navy's Basic and Applied Scientific Research program goals of improving naval operations through superior research and technology development. As the prime...