Project Grant 2514733
- This Project Grant award of $189,676 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the continued development of the AlphaMELTS software suite and related Python-based petrological modeling tools. The award will enhance the capabilities of these open-source tools to model the physical and chemical behavior of partially molten rocks, a critical component for studying and understanding volcanic systems. Key activities include expanding the scenarios that...
- This National Science Foundation (NSF) Geosciences (CFDA 47.050) Project Grant award to the New Mexico Institute of Mining and Technology (New Mexico Tech) is funding the development of new computational methods to simulate and advance the understanding of the dynamic interplay between Earth's surface and interior processes. The $123,880 award, running from September 1, 2024 through August 31, 2028, will couple two widely used open-source community software packages - ASPECT and LANDLAB - to...
- This $185,094 National Science Foundation award under the Geosciences program (CFDA 47.050) will fund the acquisition of an energy dispersive spectrometer and carbon coater for a field emission scanning electron microscope facility at the University of California, Berkeley. The new analytical equipment will enhance the university's research capabilities in areas such as volcano petrology, igneous petrology, and mantle geochemistry by enabling rapid multi-scale geochemical mapping and analysis of...
- This $175,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to develop an AI model for understanding fault dynamics and earthquake hazards in complex fault networks. The project, led by the California Institute of Technology (Caltech), aims to build a multiphysics fault network model to discover reduced-order governing equations for the evolution of stress in fault systems. This work will enable improved assessment of regional...
- 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) will support a collaborative research effort to develop a novel solution model for igneous biotite. The $144,199 award, effective December 15, 2024 through November 30, 2027, will enable the researchers to conduct high-temperature and high-pressure experiments to study the composition of biotite and other minerals, fluids, and glasses. The resulting solution model will be integrated into the...
- This National Science Foundation (NSF) Geosciences program Project Grant award, CFDA 47.050, totaling $344,941, will fund the development of open, reproducible computational workflows and learning materials through the "Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo" project. The project aims to reduce barriers to geoscience research and education by building an inclusive community around shareable, reproducible computational workflows. The grantee, Code for Science...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Geosciences program (CFDA 47.050) to the University of Illinois. The project aims to develop and introduce a novel, equation-based modeling workflow to the geosciences community. This system separates the model design (the equations) from the model implementation (the computer code), allowing geoscientists to focus on building equation systems that represent their areas of expertise. The project consists of three...
- This $178,059 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will enable the University of Southern California to develop a machine learning-based table extraction tool to help streamline paleoclimate data analysis. The goal is to create an AI-powered Python toolbox that can automatically identify and extract tabular paleoclimate data from unstructured files, reducing the time scientists spend wrangling and annotating these datasets before...
- This National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) totaling $389,009 was awarded to the California Institute of Technology on August 1, 2022 to fund research exploring the composition of Earth's core through July 31, 2025. The awardee will apply a multi-technique approach combining synchrotron Mössbauer spectroscopy and x-ray diffraction to detect melting of iron alloys including iron-nickel and iron-nickel-silicon at pressures equivalent to Earth's...
This $406,857 National Science Foundation (NSF) Geosciences program (CFDA 47.050) Project Grant awarded to the California Institute of Technology (Caltech) supports the continued development and enhancement of the ALPHAMELTS software suite for petrological modeling. The project aims to expand the scenarios that ALPHAMELTS can model, increase integration with databases, link to other geochemical modeling tools written in Python, and improve user workflows for increased reproducibility. The work will focus on Python-based tools, particularly through continued development of the PetThermoTools package, as well as supporting a graphical user interface. This project will also implement a framework to align ALPHAMELTS with FAIR (Findable, Accessible, Interoperable, Reusable) principles, making the software fully open-source, easy to install, interoperable, and well-documented. The award period runs from August 1, 2025 to July 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $406.9k | 7/29/25 |