Project Grant 2514087
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a cloud-based, open-source multiscale modeling software called OpenMSG. The $162,022 award, effective from August 15, 2025 to July 31, 2028, aims to create a toolkit for efficient prediction of mechanical and multiphysics behaviors of highly heterogeneous materials and structures, such as...
- This $1,500,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) enables the development of MATCSSI 2.0, a cloud-integrated platform to streamline complex many-body calculations for materials modeling and design. By combining user-friendly tools, interoperable software, and interactive learning resources, this project aims to lower barriers to accessing advanced computational methods for predicting material properties...
- This National Science Foundation (NSF) Project Grant award for $333,028 under the NSF Computer and Information Science and Engineering (CISE) program (CFDA 47.070) funds a collaborative research initiative led by Rutgers, The State University of New Jersey. The project aims to address the challenge of training students, researchers, and instructors in computational tools and techniques at the chemistry, physics, and materials science interface. The four-year project will establish a robust...
- This $147,266 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of the MISPR (Materials Informatics for Structure-Property Relationships) computational framework. The MISPR project aims to build a robust, open-source platform that integrates quantum chemical simulations, classical molecular dynamics, and machine learning to accelerate the discovery and understanding of complex electrolytes and electrode-electrolyte...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $150,843 to the University of Wisconsin System for a 2-year project titled "DEVELOPMENT OF AN EXPERIMENTAL BASIS FOR LARGE LANGUAGE MODEL (LLM) HYPOTHESIS GENERATION TOWARD MATERIALS DESIGN". The project aims to establish a framework for ingesting and leveraging multimodal data from experiments, such as graphs, tables, and microscopy images,...
- This Project Grant award, valued at $299,039, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The funding supports the development of computational techniques to accelerate the simulation and design process for elastic metamaterials, a class of engineered materials with unique properties not found in nature. The research aims to create a new framework for fast periodic homogenization of...
- This National Science Foundation (NSF) award under the Mathematical and Physical Sciences grant program (CFDA 47.049) provides $149,354 over three years (09/01/2024 - 08/31/2027) to develop open-source software tools for analyzing atomic structures in atomistic simulations. The project aims to create four key software packages: (1) an analyzer tool to apply machine learning-based atomic structure classifiers, (2) a machine learning tool to train and test classifiers, (3) a campaign manager to...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $450,000 to Colorado State University (CSU) from August 1, 2024 to July 31, 2027. The project aims to develop a novel adaptive, fully anisotropic multiscale hp-element method to revolutionize simulation-based design in computational electromagnetics (CEM). The research will create exponentially convergent techniques to accurately and efficiently model multiscale, non-smooth behavior...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) supports a project at the University of Utah focused on using advanced natural language processing and large language models to automatically extract materials data from scientific literature. The $200,000 award, made on an EAGER proposal, aims to tackle the challenge of materials data being locked in unstructured PDF formats that are difficult to utilize in modern...
- The National Science Foundation awarded a $996,596 Project Grant to The Regents of the University of Colorado under the Engineering federal grant program (CFDA 47.041) to establish a framework for modeling the mechanical behavior of living building materials for structural applications from August 1, 2022 to July 31, 2027. Specifically, the award will support research to develop a new multiscale cellular and granular material poroelastic formulation for a microbial precipitation-based living...
This Project Grant award, titled "COLLABORATIVE RESEARCH: ELEMENTS: OPENMSG: A CLOUD-BASED MULTISCALE MODELING TOOLKIT FOR HETEROGENEOUS MATERIALS AND STRUCTURES," is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $137,978 award, effective August 15, 2025 through July 31, 2028, supports the development of a cloud-based, open-source multiscale modeling software called OpenMSG. This software will provide an efficient prediction toolkit for analyzing the mechanical and multiphysics behaviors of highly heterogeneous materials and structures, such as advanced composites, metamaterials, and architected materials. The project aims to integrate new multiscale modeling theory with multi-fidelity machine learning models to advance materials science, enable efficient structural analysis and design, and support workforce development in ML-assisted material and structural modeling.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $138.0k | 8/4/25 |