Project Grant 2340115
- This $735,670 Faculty Early Career Development (CAREER) award from the National Science Foundation's (NSF) Engineering program supports fundamental research to create strong, tough, and sustainable materials through new knowledge of small-scale fracture in architected materials. The research will involve developing bio-derived and/or biodegradable materials with precise microstructures using advanced manufacturing, testing their mechanical properties, and modeling crack growth and propagation in...
- This National Science Foundation (NSF) CAREER award under the Engineering program (CFDA 47.041) provides $287,739 in funding to the University of Nevada, Reno to support research that will (1) establish a methodological and computational framework to leverage new knowledge from simulation data for extreme natural disaster scenarios, and (2) integrate this framework into probabilistic models for assessing infrastructure seismic risk and uncertainty. The research seeks to develop the next...
- This $599,972 Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop a new approach to multifidelity scientific machine learning. The research aims to combine data from both high-fidelity and low-fidelity computational simulations in a mathematically rigorous way, enabling the creation of machine-learned models that provide high-accuracy predictions at low computational cost. This work has the...
- The National Science Foundation (NSF) Directorate for Engineering (ENG) awarded a $598,917 Faculty Early Career Development (CAREER) program grant to Virginia Polytechnic Institute & State University (Virginia Tech) to advance the understanding of Portland cement reactions and mechanisms at the micro- and nanoscales. The 5-year project aims to quantify the fundamental kinetics and mechanisms governing how the key cement minerals, tricalcium silicate and dicalcium silicate, react with...
- This $542,947 five-year Faculty Early Career Development (CAREER) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by Colorado State University to develop new methodologies for assessing evolving hurricane risks to urban building exteriors due to climate change and urbanization. The research aims to create a user-friendly, cloud-based application called UrbanWinds that allows engineers to quickly evaluate wind loads and building risk...
- This $585,000 five-year faculty early career development (CAREER) award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to characterize turbulence and wind loads in urban environments. The goal is to advance fundamental understanding of turbulence behavior in densely populated areas and improve analytical models for predicting wind-loading on low-rise structures. The project will utilize wind tunnel experiments and computational fluid dynamics...
- 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...
- Virginia Polytechnic Institute & State University (Virginia Tech) received a $457,560 Project Grant award from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems on January 15, 2022 to support research titled "CAREER: TRANSFORMING BIOSENSOR RELIABILITY USING SENSOR TIME-SERIES DATA AND PHYSICS-BASED MACHINE LEARNING." The award will support research and education activities through December 31, 2026 under the NSF...
- This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award provides $548,702 to Florida State University (FSU) to conduct research aimed at enhancing the simulation of extreme winds and their impact on civil infrastructure. The project, which runs from February 1, 2024 to January 31, 2029, will leverage meta-learning systems, field observations, and experimental testing to improve understanding of site-dependent hurricane wind conditions and their effects on...
- The National Science Foundation (NSF) awarded a $349,209 Faculty Early Career Development (CAREER) project grant to the University of Florida (UF) Division of Sponsored Research. The 5-year project, titled "An Integrated Trustworthy AI Research and Education Framework for Modeling Human Behavior in Climate Disasters", aims to develop advanced artificial intelligence (AI) methodologies to enhance the prediction and understanding of human behaviors before, during, and after weather and...
This $674,582 Faculty Early Career Development (CAREER) award from the National Science Foundation's (NSF) Engineering program supports research to develop a framework for translating raw sensor data into functional analytical models that accurately represent the as-built behavior of civil structures. The project, conducted by Virginia Polytechnic Institute & State University (Virginia Tech), aims to address key challenges in applying data-driven methods to structural engineering practice. The technical approach combines a structural engineering ontology (domain knowledge) and probabilistic graphical models (reasoning) to identify structural components from spatial and non-destructive evaluation data, establish component relationships, and fuse response data to infer unobservable properties. This work is envisioned to enable future applications in infrastructure assessment, including the creation of digital twins. The award period runs from August 1, 2024 to July 31, 2029, and the project will also integrate research products into core engineering courses to provide students with hands-on experience using AI for structural modeling. No subwards are planned for this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $674.6k | 3/13/24 |