HCC: Small: Joint Learning of Fracture Simulation and Fractured Object Reassembly — NSF Award to University of Texas at Austin (TX
Decades of research has focused on how to simulate the fracture of objects into multiple fragments. Relative to this forward problem, the inverse problem of fractured object reassembly---recovering the complete underlying object from its fragments---remains largely open, despite its high-impact applications in fields i
| Award title | HCC: Small: Joint Learning of Fracture Simulation and Fractured Object Reassembly |
|---|---|
| Award ID | 2515626 |
| Awardee | University of Texas at Austin |
| City | AUSTIN |
| State | TX |
| Amount obligated | $480,000 |
| Principal investigator | Qixing Huang |
| Program | HCC-Human-Centered Computing |
| Start date | 10/01/2025 |
| Abstract | Decades of research has focused on how to simulate the fracture of objects into multiple fragments. Relative to this forward problem, the inverse problem of fractured object reassembly---recovering the complete underlying object from its fragments---remains largely open, despite its high-impact applications in fields including reconstruction of broken artifacts, bone fracture reduction, docking of proteins, DNA sequencing, fossil reconstruction, document restoration and forensics, geoscience, an |
| Source | NSF Awards |
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