Project Grant N629092212001

This National Science Foundation (NSF) Office of Advanced Cyberinfrastructure award of $225,735 under the NSF Computer and Information Science and Engineering program (CFDA 47.070) aims to create and disseminate open-source benchmark datasets and resources focused on two broad classes of mechanical challenges: nonlinear material behavior (e.g., fracture of engineered composites) and nonlinear structural behavior (e.g., large deformation and buckling of engineered metamaterials). The award will...

This Project Grant award of $303,199 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to develop new and efficient numerical methods for solving fluid-structure interaction (FSI) and fluid-poroelastic structure interaction (FPSI) problems. The key technical goals of this 3-year project at Clemson University include: Formulating and analyzing a monolithic system to establish well-posedness, stability, and finite element error estimates for these coupled...

This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $299,431 to the University of Alabama in Huntsville (UAH) to develop characterization techniques for determining the rate and temperature-dependent properties of polymer matrix composite (PMC) materials. The goal is to enable accurate simulations of PMC behavior under dynamic loading conditions, such as vehicle crashes and aircraft impacts, to support the widespread...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $399,915 in funding to the University of California, Davis from April 1, 2025 to March 31, 2028. The goal of this research is to develop a novel scientific formulation that integrates fracture mechanics with an enriched frame element formulation, resulting in a method that can accurately simulate the initiation and propagation of fracture and fatigue in steel structures. This research...

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...

The U.S. Department of the Air Force awarded a $223,560 Project Grant to Monash University in Australia under the Air Force Defense Research Sciences Program (CFDA 12.800). The grant, awarded on September 30, 2025, with a completion date of September 29, 2028, supports research on "Mechano-Acoustically Enhanced Resin Injection Hybrid Repair of Composite Structures." Monash University, an internationally renowned research institution with a substantial track record of performing...

This Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation provides $1,177,594 to support research titled "DMREF/GOALI/COLLABORATIVE RESEARCH: PHYSICS-INFORMED ARTIFICIAL INTELLIGENCE FOR PARALLEL DESIGN OF METAL MATRIX COMPOSITES AND THEIR ADDITIVE MANUFACTURING." The funding period is from September 1, 2021 to August 31, 2025. The research is being conducted under the NSF Engineering program (CFDA 47.041), which aims to...

The National Science Foundation (NSF) awarded a $195,647 Project Grant under its Engineering (CFDA 47.041) program to Carnegie Mellon University for the "Collaborative Research: Building a Collaborative Network of Researchers in Mechano-Computation" project. This 5-year effort, running from August 1, 2025 to July 31, 2030, aims to establish the "Mechano-Computation for Expanding Scientific Horizons (MESH) Network" to facilitate interdisciplinary collaboration in the...

This Project Grant award for $313,087 from the National Science Foundation's Engineering program (CFDA 47.041) will support a collaborative research initiative at the State University of New York at Binghamton to develop a physics-informed machine learning framework for tailoring the multidirectional mechanical properties of composite materials. The research aims to create a data-driven approach to understand the relationship between material architecture and mechanical behavior, facilitating...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance the modeling and design of porous materials, such as foams and energy-absorbing materials, that play a critical role in various industries. The $593,965 project, awarded to the University of Utah, will develop a hybrid quantum-classical finite element method (FEM) framework to model fracture in heterogeneous porous materials. The research will integrate quantum solvers for...