Project Grant 2240326

Award Date 7/15/22
Completion Date 8/31/23
Dollars Obligated $187K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Blacksburg, VA, USA
Similar Awards
This $236,309 National Science Foundation project grant supports fundamental research at Virginia Polytechnic Institute and State University to develop a novel approach for harnessing three-dimensional multi-stability induced by origami folding to engineer multi-functional material systems. The one-year project beginning July 15, 2022 aims to transform the ancient art of origami into a theoretical framework for designing materials with unprecedented functions through the NSF Engineering...
This National Science Foundation (NSF) Engineering grant (CFDA 47.041) provides $337,865 to Virginia Polytechnic Institute & State University (Virginia Tech) from September 1, 2024 to August 31, 2027 to conduct foundational research on creating transformative structures and materials with multi-faceted "mechano-intelligence." The project aims to harness the physical reservoir computing power of multi-functional origami as a mechanical neural network, in order to enable essential...
This $478,823 federal Project Grant award from the National Science Foundation (NSF), under the Engineering program (CFDA 47.041), supports foundational research to create intelligent structures and materials with multi-faceted mechanical intelligence (mechano-intelligence). The objective is to leverage multi-functional origami as a mechanical neural network to develop self-aware, autonomous engineering systems capable of perceiving, memorizing, and making decisions about their environment....
This $325,044 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support research to develop a new aerodynamic fiber deposition technology for manufacturing biomimetic soft fiber-reinforced composites. The project aims to address the challenge of precisely controlling the spatially varying fiber arrangements in nano/microfiber materials, which is critical for creating advanced medical implants and robotic devices that mimic the performance of...
This National Science Foundation (NSF) award under the Engineering program (CFDA 47.041) provides $313,087 to The Research Foundation For The State University Of New York to develop a physics-informed deep learning framework for tailoring the multidirectional mechanical properties of composite materials. The research aims to create a data-driven model relating material architecture to mechanical behavior, enabling the inverse design and fabrication of composites with desired properties. This...
This $562,789 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Arizona State University aims to deepen the understanding of deformation mechanisms in axially bi-continuous graphene-nickel composites. The project will leverage new laser-based material processing and microdevice-based characterization methods to investigate the strengthening mechanisms of these graphene-metal composites, which can potentially lead to the development of...
This Project Grant from the National Science Foundation (NSF) provides $334,027 to Virginia Polytechnic Institute and State University from February 2021 through January 2024. The funding supports research into self-adaptive electromechanical metamaterials under the NSF's Engineering (CFDA 47.041) program. The goal of this program is to improve engineering research and education to foster innovation and strengthen the national economy. Specifically, the award will allow research into...
The University of Pittsburgh is receiving a $332,775 Project Grant from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to conduct research that integrates human creativity with computational intelligence for the design of next-generation responsive architecture. The research aims to create tools that promote creativity, knowledge sharing, and collaborative workflows to develop effective, environmentally responsive adaptive building technologies, such as...
This $223,010 Project Grant award from the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) under the Engineering program (CFDA 47.041) supports the development of a new class of ultralight, manufacturable materials with jointly optimized mechanical and transport properties. The key activities include: Characterizing the benefits of exploiting local uniformity and hyperuniformity in materials design and fabrication, Measuring the...
This $266,696 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental research by the University of Pittsburgh on geometric problems in elasticity, kirigami, and the Monge-Ampere system. The key focus areas include: (i) developing mechanical theories for thin multi-dimensional films with stored energy from shape-formation processes; (ii) investigating regularity of solutions to partial differential equations...

This $187,220 National Science Foundation project grant supports research at Virginia Polytechnic Institute and State University to establish an optimal design framework for multi-functional composite structures. Leveraging kirigami cutting principles and snap-through multi-stability, the framework will expand performance capabilities for composites in aerospace, automotive, and robotics applications. Under the NSF Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research and education, the one-year project beginning July 15, 2022 aims to derive mathematical linkages between design variables and performance outputs. Researchers will develop practical guidelines through experimental testing and a multi-disciplinary synthesis method using bi-level optimization. A $25,000 sub-award to Clemson University's Division of Research will support related educational outreach activities combining engineering and kirigami paper cutting to inspire the public. Results are expected to significantly advance adaptive composites, kirigami applications, and multi-level, multi-objective design optimization.

Generated 1/7/24, 4:55 AM