Project Grant 2453771
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) supports the development and experimental validation of computational tools for simulation-guided design of DNA nanostructures and molecular systems. The project aims to integrate high-level and low-level computational models to enable more powerful and user-friendly multiscale modeling frameworks for DNA nanotechnology. Key objectives include parameterizing coarse-grained...
- The National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program awarded a $100,000 Project Grant to the Georgia Tech Research Corporation on July 1, 2025. The grant supports a collaborative research project titled "ACED: Accelerating Protein Engineering with Evolution-Guided Generative AI and a Self-Driving Biofoundry." The project aims to advance protein engineering by combining cutting-edge artificial intelligence (AI) methods with automated laboratory...
- This Project Grant award of $316,760.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop "Algorithmic Shape Encoding at the Nanoscale." The research will focus on creating mathematical tools to distinguish molecules based on their 3D shapes and structures, and then use this to construct increasingly complex self-assembling DNA-based nanostructures. Expected outcomes include breakthroughs in...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on April 1, 2025, aims to develop a foundation model for predicting rare events in atomistic simulations. The research, conducted by the University of Maryland, College Park, leverages advanced AI techniques like equivariant transformers, generative models, and multimodal learning to enhance prediction accuracy and generalization across...
- The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $687,382 supports research and education focused on the foundations of the next generation of artificial intelligence (AI) for engineering design. The project, titled "CAREER: TOWARDS NEXTGEN-AI: RETHINKING DEEP GENERATIVE MODELS FOR ENGINEERING DESIGN", aims to establish deep generative models (DGMs) designed to handle challenges specific to engineering design across different scales, complexity,...
- The National Science Foundation (NSF) Division of Materials Research awarded a $499,999 Project Grant to Arizona State University (ASU) under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year grant project aims to: 1) create 3D DNA crystal scaffolds to host and determine the structure of RNA aptamers; 2) attach and immobilize functional proteins like enzymes within the crystal lattices to develop catalytic materials; and 3) develop sub-100 nm DNA nano-crystals to...
- This $223,362 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports collaborative research by Arizona State University to develop new mathematical tools and frameworks for "Algorithmic Shape Encoding" - using DNA molecules and self-assembling 3D structures to encode and manipulate information at the nanoscale. The research aims to create breakthroughs in areas like self-assembling materials,...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will support a collaborative research project at Montana State University (MSU) focused on how generative artificial intelligence (GenAI) is being used in the chemical engineering industry and how to better prepare engineering students for this new technological reality. The $114,894 award, running from October 1, 2025 to September 30, 2027, will involve conducting interviews and focus groups...
This National Science Foundation (NSF) Project Grant, under the Office of International Science and Engineering program (CFDA 47.079), will provide $100,000 in funding to Arizona State University (ASU) to harness artificial intelligence (AI) methods to automate the design and characterization of nucleic acid nanodevices. The overarching goal is to develop novel generative AI techniques to streamline the design process for these complex bionanotechnology structures, which have promising applications in diagnostics, therapeutics, and materials science. Key project objectives include: This 3-year project, running from September 2025 to August 2028, aims to significantly enhance the scalability and simplify the development of advanced bionanotechnology solutions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 7/19/25 |