Project Grant N000142512237

This NSF Integrative Activities (CFDA 47.083) project grant, awarded to Iowa State University, provides $276,827 to develop a novel cyberinfrastructure for designing and characterizing printable multifunctional materials. Key products and services being delivered include: A universal, parallelized in silico voxelized microstructure generator to produce datasets of material morphologies with distinct properties and manufacturability Numerical methods for efficient characterization of...

The National Science Foundation (NSF) awarded a $75,000 Project Grant under the Engineering (CFDA 47.041) program to the University of California, Santa Barbara (UCSB) to support a collaborative research project titled "DMREF: Data-Driven Discovery of the Processing Genome for Heterogeneous Superalloy Microstructures." The project aims to revolutionize the creation of novel engineering alloys by developing a data-driven platform called "DRAGONS" (Data-Driven Recursive...

The National Science Foundation awarded a $300,000 Project Grant to the University of Michigan under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop an artificial intelligence framework called the AI-enabled Microstructure Model Builder (AMMBER). AMMBER will autonomously determine input parameters for phase-field models based on a variety of data sources to establish constraints on model parameters. It will leverage automated data pipelines...

This National Science Foundation (NSF) Designing Materials to Revolutionize and Engineer our Future (DMREF) Project Grant award, valued at $150,000 and running from October 1, 2023 to September 30, 2027, supports collaborative research to develop simulation-informed models for additive manufacturing of amorphous metals. The research team at The Washington University aims to derive meaningful measures of material structure from electron nanodiffraction and simulation data, and build predictive...

This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a new class of ultralight, manufacturable materials with optimized mechanical and transport properties. The $362,000 award to the University of North Carolina at Chapel Hill aims to: Characterize the benefits of exploiting local uniformity and hyperuniformity in material design; Measure mechanical and transport properties to understand the...

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...

This Project Grant award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) totaling $344,918 will establish a collaborative research program at Florida International University (FIU) to develop advanced data-driven approaches for additive manufacturing (AM) or 3D printing of materials with locally tunable electrical and mechanical properties. The research aims to create new polymer resin formulations for digital light processing (DLP) 3D printing that can...

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 $799,999 National Science Foundation project grant will fund the development of new algorithms and simulations to co-design the geometry and fabrication plans for direct-ink writing 3D printing at the University of Washington through September 2025. Specifically, the university researchers will create a microstructure-aware rod-based simulation to analyze the mechanical behavior of direct-ink writing printed parts over 1,000 times more efficiently than traditional finite element methods....

This $399,161 National Science Foundation project grant supports research at the University of Texas at Austin to develop new algorithms and simulations for co-designing the geometry and fabrication plans for direct-ink writing 3D printing. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), this three-year award will transform additive manufacturing design tools by allowing users to specify an object's desired mechanical behavior and automatically generate...