Project Grant 1602141

This National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) EAGER grant to Northeastern University provides $229,680 from October 1, 2023 to September 30, 2025 to evaluate the feasibility of a soft and compressible electronic skin (e-skin) device that integrates a touch sensor with a soft electromagnetic coil-based flexible actuator. The goal is to replicate natural skin characteristics, including receptors embedded in soft tissue tightly coupled with muscles, to enable...

This EAGER (Early-Concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will develop generative artificial intelligence (AI) methods to learn from computational physics simulations and mathematical equations. The $300,000 project aims to expand the capabilities of large language models, such as OpenAI's ChatGPT and Microsoft's Copilot, to go beyond text-based learning and make predictions on complex, coupled physics problems...

This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) project, under the NSF Engineering program (CFDA 47.041), will support research at Arizona State University (ASU) to create a new modeling and learning framework enabling efficient coordination between a human and robot in urgent and safety-critical sensorimotor tasks. The $300,000 award, from September 2024 to August 2026, will integrate ideas from behavioral economics, game theory, optimal control,...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $415,754 to the Texas A&M Engineering Experiment Station (Tees) to advance computational methods for accurately characterizing the mechanical behavior of critical materials. The key products and services to be delivered include: Developing a global programming "epsilon-optimal" spatial branching technique using a novel class of efficient convex underestimators. An...

Rensselaer Polytechnic Institute (RPI) was awarded a $352,903 Project Grant from the National Science Foundation's (NSF) Engineering (47.041) program to develop a new theoretical and simulation approach for understanding the packing structures of soft, self-adjusting objects. Through this three-year award ending June 2026, RPI will use coarse-grained computer modeling to test the hypothesis that packing structures are determined more by particle surface area than volume fraction. The models will...

This three-year, $199,872 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to augment the Chrono computer simulation platform to better simulate autonomous agents and human-autonomous agent interactions. Led by Carnegie Mellon University, the multi-disciplinary team of 40 researchers will upgrade Chrono to incorporate recent computational dynamics innovations to generate machine learning training data, facilitate comparison of...

This National Science Foundation (NSF) Early-concept Grants for Exploratory Research (EAGER) project aims to develop an immersive mixed-reality infrastructure that enables smooth sensorimotor interactions between humans and virtual scene simulations. The $149,999 award, granted under NSF's Engineering program (CFDA 47.041), supports research to establish a closed-loop AI-driven task environment for training applications. Key objectives include creating flexible training modules, developing...

The National Science Foundation (NSF) awarded a $279,788 Early-Concept Grant for Exploratory Research (EAGER) under the Engineering (CFDA 47.041) program to the University of Pittsburgh. This EAGER award supports research to demonstrate 3D printing of polymeric materials that can transport charges and function as artificial muscles, converting thermal energy into mechanical work. The research aims to align ionic species within a printed polymer network to enable multifunctional components for...

This NSF Engineering (CFDA 47.041) CAREER award of $569,573 supports research and educational initiatives at SUNY at Binghamton from April 1, 2026, through March 31, 2031. The primary deliverables include development of a multiscale modeling framework that links molecular-scale polymer physics to emergent mechanical properties in highly entangled polymer networks, with a focus on creating physics-informed machine learning models capable of predicting and optimizing polymer gel performance. The...

The National Science Foundation (NSF) awarded a $175,000 Early-Concept Grants for Exploratory Research (EAGER) Project Grant to The Research Foundation for the State University of New York (RF SUNY) under the NSF Engineering program (CFDA 47.041). The 2-year project, titled "Collaborative Research: EAGER: CET: GREENSW: Fostering Sustainable HPC and Cloud Software Systems through AI-Enabled Energy-Aware Code Smell Refactoring," aims to develop novel machine learning models for...