Project Grant 2511507
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop new artificial intelligence (AI) models and methods to analyze and interpret stellar spectra more effectively. The $271,969 award to The Ohio State University, with a project period from September 1, 2024 to August 31, 2027, will fund research to create "spectral foundational models" - robust AI models pre-trained on simplified stellar spectral...
- This $395,378 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) will support the development of software using machine learning and artificial intelligence (AI) methods to detect anomalous phenomena in data from the Legacy Survey of Space and Time (LSST) conducted by the Vera C. Rubin Observatory. The key objectives are to develop new methodologies and a software package specifically designed for LSST data to...
- This National Science Foundation (NSF) Division of Astronomical Sciences Project Grant, CFDA #47.049 Mathematical and Physical Sciences, is funding Drexel University to develop cutting-edge artificial intelligence (AI) systems that will optimize the search for electromagnetic signals accompanying gravitational wave events detected by advanced detectors. The $341,248 project, running from September 1, 2023 to August 31, 2026, aims to create an AI agent that can adaptively learn to make the best...
- This $103,360 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences will fund a collaborative research program to use artificial intelligence (AI) to detect the faintest and smallest galaxies in the universe. The grant, titled "COLLABORATIVE RESEARCH: AI-POWERED DISCOVERY OF THE FAINTEST GALAXIES: PUSHING THE GALAXY FORMATION FRONTIER," will support the development of a convolutional neural network image classifier to build an unbiased...
- This $481,026 Project Grant award from the National Science Foundation's (NSF) Division of Astronomical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), will enable a collaborative research effort to use artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in the universe. The project, led by a senior TED Fellow at the University of Arizona, will analyze vast datasets from advanced astronomical observatories, including the Rubin...
- The National Science Foundation (NSF), through its Mathematical and Physical Sciences (CFDA 47.049) federal grant program, awarded $558,686 to Trustees of Dartmouth College to support a collaborative research project titled "AI-Powered Discovery of the Faintest Galaxies: Pushing the Galaxy Formation Frontier." The project, which runs from September 1, 2025 to August 31, 2028, will leverage artificial intelligence (AI) to detect a large sample of the faintest and smallest galaxies in...
- This $421,175 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports a research project titled "The Emergence of Star Clusters: Insights from Artificial Intelligence." The project aims to better understand the physical mechanisms of star formation by analyzing data from the Atacama Large Millimeter Array and the James Webb Space Telescope to measure the timescales for clearing natal gas from newly formed stellar clusters....
- The National Science Foundation (NSF) awarded a $291,477 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Brown University. The grant, titled "FINDING THE PHYSICS THAT MATTERS: A NEW FRAMEWORK FOR INTERPRETABLE AND ROBUST PREDICTIVE MODELS FOR ASTROPHYSICS AND COSMOLOGY," will fund the development of novel machine learning (ML) and artificial intelligence (AI) methods to model and interpret cosmological 21 cm emission from neutral...
- This $457,976 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop a novel framework for constraining models of baryonic feedback in the universe. The research team at the University of Chicago will apply artificial intelligence and machine learning techniques to data from cosmic microwave background and galaxy surveys to gain insights into the...
- This $482,093 National Science Foundation (NSF) Project Grant, awarded under the Mathematical and Physical Sciences (CFDA 47.049) program, supports research by the Massachusetts Institute of Technology (MIT) to build an automated process using machine learning to analyze observations of over 1.5 billion stars from the Gaia mission of the European Space Agency. The goal is to chart the history of the Milky Way's formation by searching for stellar debris from past galaxy collisions. The research...
The National Science Foundation (NSF) awarded a Project Grant of $394,869 to the Rochester Institute of Technology (RIT) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049). The grant, awarded on October 1, 2025, will support the development of an artificial intelligence (AI) model called the Spectroscopy Pre-trained Transformer (SpecPT) to analyze extragalactic spectroscopic data more efficiently. The key objectives of the project are to leverage recent advancements in machine learning and citizen science measurements from the Redshift Wrangler project to create a general-purpose analysis package for extragalactic astronomy. SpecPT will be trained on over 7 million galaxy spectra from the Dark Energy Spectroscopic Instrument (DESI) to improve the precision and accuracy of redshift measurements, as well as to identify active galactic nuclei and measure properties of the interstellar medium. The project will involve undergraduate and graduate students and is expected to be completed by September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $394.9k | 8/20/25 |