Project Grant 2040358
- The National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $223,843 Project Grant to Rutgers, The State University located in New Brunswick, New Jersey. The award, which runs from January 1, 2024 to December 31, 2026, is under the NSF Engineering program (CFDA 47.041) to develop data-driven methodologies for integrative monitoring and operation of multistage manufacturing systems. The key products and services to be delivered include:...
- Rutgers, The State University was awarded a $622,248 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering federal grant program (CFDA 47.041). The grant supports research to develop improved physics-based machine learning models of metal fracture that account for interactions between the crack tip and plastic zone. Rutgers will create a three-dimensional discrete dislocation dynamics simulation incorporating relevant...
- Rutgers, The State University received a $576,943 Project Grant award from the National Science Foundation on January 1, 2022 to support research titled "SCALE BRIDGING IN DUCTILE FRACTURE VIA KERNEL-BASED MACHINE LEARNING." The award is being administered through the NSF's Engineering Program (CFDA #47.041), which seeks to improve quality of life and economic strength through engineering innovation and excellence in research and education. Under this two-year Project Grant...
- This $1.02 million National Science Foundation Project Grant, funded under the Engineering program (CFDA 47.041), supports the development of computation-informed deep learning approaches to enable real-time prognosis of melt pool dynamics for additive manufacturing. Over the three-year period from July 2022 to June 2025, the awardee, Rutgers University, will create an integrated model using computational fluid dynamics simulations and deep learning to predict melt pool overheating during...
- The National Science Foundation awarded a $1,490,276 project grant to Rutgers, The State University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research from February 1, 2022 to January 31, 2026 to develop robust and efficient physics-based learning and reasoning capabilities for degraded environments. The Computer and Information Science and Engineering program aims to advance computing and informatics research, education, and...
- The National Science Foundation awarded a $180,009 Project Grant to Rutgers, The State University Of New Jersey, for research titled "COLLABORATIVE RESEARCH: LANGEVIN MARKOV CHAIN MONTE CARLO METHODS FOR MACHINE LEARNING." The award period is from June 1, 2021 to May 31, 2024. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise through increased knowledge and...
- This three-year, $349,999 National Science Foundation project grant supports research at Case Western Reserve University to develop specific energy-based prognosis models for machining surface integrity through integration of process physics and machine learning. Funded under the NSF Directorate for Engineering's Engineering Grants program (CFDA 47.041), the research aims to foster innovation in engineering by improving prediction of machined surface conditions to enable more efficient...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $270,000 to Rutgers, The State University to conduct research that will establish a novel computational paradigm called "SMART-RECOVER" to ensure resilience of digital manufacturing systems against stealthy cyberphysical attacks. The research objectives include developing techniques for: (1) pre-fabrication reconstruction of attack-altered digital geometric models, (2)...
- Rutgers, The State University received a $250,151 Project Grant award from the National Science Foundation on August 1, 2021 to support research titled "COLLABORATIVE RESEARCH: CONTROLLING PROCESS VARIABILITY IN BOTTOM-UP NANOELECTRONIC DEVICES." The award will fund research through July 31, 2024. The research aims to control process variability in bottom-up nanoelectronic devices and is supported through the National Science Foundation's Engineering program (CFDA 47.041). The NSF...
- Federal Grant Award Summary Rutgers, The State University received a $486,667 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective October 1, 2025, with completion targeted for September 30, 2029. This collaborative research award supports the Designing Materials to Revolutionize and Engineer Our Future (DMREF) initiative focused on developing machine-learning-accelerated design...
The National Science Foundation awarded a $342,587 Project Grant to Rutgers, The State University under the Engineering federal grant program (CFDA 47.041). The three-year grant will support collaborative research titled "COLLABORATIVE RESEARCH: SPECIFIC ENERGY-BASED PROGNOSIS FOR MACHINING SURFACE INTEGRITY THROUGH INTEGRATION OF PROCESS PHYSICS AND MACHINE LEARNING." The research aims to develop an energy-based predictive model for machining surface integrity by integrating process physics and machine learning. This work will provide manufacturers with critical insights for optimizing machining operations and ensuring product quality. The grant period runs from August 1, 2021 through July 31, 2024, with Rutgers, The State University serving as the primary awardee conducting the research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $342.6k | 7/28/21 |