Project Grant 2515626
- The National Science Foundation (NSF) has awarded a $599,468 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Austin. The grant, titled "HCC:SMALL: NEURAL SHAPE GENERATORS UNDER GEOMETRIC, PHYSICAL, AND TOPOLOGICAL PRIORS -SHAPE SYNTHESIS?CREATING FORMAL DESCRIPTIONS OF NOVEL 3-D SHAPES," will fund research to develop a computational framework that incorporates physical, topological, and geometrical preferences...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...
- 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...
- This federal Project Grant award of $1,200,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new class of digital shape models capable of accurately representing deformable objects like animal bodies and human hands, even with varied skeletal structures. The 4-year project at the University of Texas at Austin aims to create a "universal deformable shape modeling framework" that integrates 3D...
- This federal Project Grant award, totaling $453,738.00, was provided by the National Science Foundation's Engineering program (CFDA 47.041) to the University of Texas at Austin. The objective of this award is to develop an integrated experimental and computational framework for analyzing the fracture behavior of soft materials, such as hydrogels, elastomers, and biological tissues, which are critical for applications in biomedical devices, flexible electronics, and soft robotics. The research...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, aims to develop a computational framework that accelerates microstructure prediction in additive manufacturing (AM) through physics-informed machine learning techniques. The $499,999 award to Arizona State University (ASU) will involve designing novel graph neural networks to model the evolution of microstructures under various AM process conditions,...
- The National Science Foundation (NSF) awarded a Project Grant of $599,649 to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The goal of this 3-year project, which commenced on April 15, 2024, is to develop perception systems that can infer the 3D structure of generic objects or scenes from 2D images, even with partial observations. Key technical efforts will include formulating mechanisms for learning novel 3D generative...
- The University of Texas at Austin was awarded a $287,988 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The grant, titled "CAREER: HAYARUPU: Accelerating Natural Hazard Engineering with AI-Driven Discovery Loops", aims to accelerate advancements in engineering and scientific research through the use of artificial intelligence (AI). The project will develop an AI-accelerated scientific discovery framework...
- This National Science Foundation Project Grant award of $549,995 supports research and education activities at the University of Texas at Austin from April 1, 2022 through March 31, 2027. The award is funded through the Computer and Information Science and Engineering program (CFDA 47.070) to enable intelligent robot manipulation in real-world tasks. Specifically, the award will advance the development of new algorithms and tools for intelligent robot manipulation outside controlled research...
- The National Science Foundation awarded a $300,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Worcester Polytechnic Institute (WPI) to develop new variational methods for modeling and predicting fracture behavior of materials and structures. The key products of this 3-year project include: Establishing the existence of equilibrium solutions under a new variational principle that overcomes limitations of previous fracture models, particularly in...
The National Science Foundation (NSF) awarded a $480,000 Computer and Information Science and Engineering (CISE) Project Grant to the University of Texas at Austin. The grant, awarded from October 1, 2025 to September 30, 2028, will support research to develop the first practical automatic algorithm for reassembling an object from its fragments. The project combines cutting-edge research on geometric deep learning and well-validated physical simulation algorithms to overcome the lack of fracture data and enable the joint learning of fracture simulation and fractured object reassembly. The research plan includes developing a fast but physics-aware fracture and weathering simulation network, an end-to-end trainable pipeline for fractured object reassembly, and exploring the joint learning of fracture simulation and object reassembly. This research has applications in fields such as reconstruction of broken artifacts, bone fracture reduction, docking of proteins, DNA sequencing, fossil reconstruction, document restoration, forensics, geoscience, and assembly planning in robotics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $480.0k | 7/30/25 |