The National Science Foundation (NSF) awarded a $437,450 Project Grant to Purdue University to develop a new class of "nonlocal elastic metamaterials" that leverage intentional nonlocality as a design principle. The goal is to create programmable materials with broadband dynamic performance, tunable effective properties, and efficient reconfiguration, addressing limitations of current metamaterial technologies. This 3-year project (5/1/2024 - 4/30/2027) under NSF's Engineering...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computational pipeline that integrates AI-driven optimization techniques with advanced simulations to streamline the design of mechanical metamaterials (MMs). The research aims to establish a new class of AI-driven design tools that enable faster, more flexible, and sustainable material development, primarily...
This $271,213 National Science Foundation award through the Engineering (CFDA 47.041) program will support research at the Illinois Institute of Technology from September 2022 through August 2025. The project aims to advance understanding of boundary and interface issues in metamaterials through multi-disciplinary collaboration. Researchers will perform theoretical, computational, and experimental analysis of transition layers in acoustic and elastic metamaterials to develop devices that control...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant award to Iowa State University of Science and Technology, with $540,699 in funding from September 1, 2024 to August 31, 2027, will support research to leverage metamaterials for enhanced structural damping capabilities. The project aims to: 1) study the scalability of metamaterials to larger structural scales; 2) develop innovative structural component designs with tailored strength, stiffness, and real-time...
This $601,818 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of programmable materials that can control and monitor vibrations and shocks in real time at Purdue University from February 15, 2022 to January 31, 2027. The grant recipient will investigate the physics and establish a mathematical foundation governing the interplay between topology and nonlinear, time-dependent behavior in heterogeneous mechanical metamaterials....
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $503,167 Project Grant to the University of Southern California (USC) for the project titled "CAREER: EFFECTIVE CONTINUUM MODELING OF MECHANISM-BASED METAMATERIALS". Under this 5-year award, effective from July 1, 2023 to June 30, 2028, USC will conduct fundamental research to develop modeling tools for predicting the mechanical behavior of morphing metamaterials. Metamaterials...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award in the amount of $300,150 supports collaborative research aimed at designing and optimizing topological metamaterials with programmable levels of softness and rigidity. The research will investigate the relationship between the geometric features of these materials and their emergent topological polarization properties, which enable the materials to manage applied loads through soft and rigid edges. The...
This National Science Foundation award provides $249,901 in funding to the University of Massachusetts Lowell under the Engineering program (CFDA 47.041) from September 1, 2022 through August 31, 2025. The funding supports fundamental research on consistent treatment of boundaries and interfaces in metamaterials. A multi-disciplinary team will perform theoretical and computational analysis of transition layers and use inverse design principles to create devices that control propagation of...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $300,392 to the University of Illinois to conduct collaborative research on the topology of shapes, topology of waves, and their interplay in metamaterials optimization. The research aims to design structures that can program variable levels of material softness and rigidity, enabling them to intelligently manage loads from the environment. Key focus areas include investigating the...
This $199,040 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new classes of computational algorithms that combine the benefits of direct computer simulations and the speed of machine learning predictions. The project, titled "XTRIPODS: HYBRID SCIENCE-MACHINE LEARNING SOLVERS FOR NANOPHOTONICS AND METAMATERIALS," will embed scientific knowledge into the machine learning...