Project Grant DESC0023594

This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $650,000 over a 3-year period to the University of Southern California to develop an AI model that can better understand fault dynamics and earthquake hazards in heavily faulted geologic basins. The project builds a multiphysics fault network model to discover reduced-order governing equations for the evolution of stress in complex fault systems, using the Southern Permian Basin in the...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $300,001 to Trustees of Boston University to develop a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to improve earthquake detection, localization, and characterization. The project aims to revolutionize earthquake science by using AI to unravel patterns in seismic data, leading to more accurate tools for earthquake monitoring and potential prediction....

This Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), supports research to develop new technologies that integrate advanced artificial intelligence (AI) and machine learning (ML) with established geoscientific domain knowledge to enhance understanding of landslide causality. The $674,291 award, effective October 1, 2024 through September 30, 2027, will enable the Research Foundation of the City University of New York (RFCUNY) to:...

This $541,276 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research by Oregon State University to develop artificial intelligence (AI) models that leverage gene sequence data to understand ecosystem processes in methane seep habitats. The research will focus on building two new AI models - one that codes genes and classifies them into pathways, and another that uses text and sequence protein representation to identify...

This $452,604 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to revolutionize earthquake science. The project aims to train the AI model on vast archives of seismic data to identify and characterize earthquake signals, leveraging cutting-edge techniques like transformer models. This research will focus on improving earthquake detection,...

This $586,557 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research initiative to develop artificial intelligence (AI) models that can leverage gene sequence data to better understand ecosystem processes, with a focus on methane seep habitats. The project will collect new microbial samples from methane seeps off the coasts of Oregon and Washington and employ novel natural language processing AI approaches to predict...

This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $692,942 in funding to the University of California, San Diego (UCSD) to develop an integrated experimental and computational framework for modeling the hydro-chemo-mechanical behavior of geomaterials across scales. The key objectives of this 5-year research project are: 1) Creating a machine learning-enabled multiscale material characterization framework for heterogeneous geomaterials,...

This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $300,000 in funding to the Massachusetts Institute of Technology (MIT) from November 15, 2024 to October 31, 2027. The award supports the development of machine learning-powered "surrogate models" to increase the computational speed and efficiency of geophysical models used for air pollution and climate research. Key project objectives include: Creating simplified,...

This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a $813,628 research partnership between geoscientists and computer scientists at the University of Maryland, College Park. The project aims to develop novel AI-based approaches to quantify and explain uncertainty and inequity in geoscience modeling and prediction. Key innovations include a computationally efficient framework for estimating aleatoric and epistemic uncertainty,...