Project Grant 2505772
- 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...
- 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,...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University a $450,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: FTE: MEDIUM: THREE DIMENSIONAL ALGORITHMIC ASSEMBLY AND INFORMATION STORAGE" from May 15, 2021 through April 30, 2024. The grant aims to advance the development and use of research cyberinfrastructure to enable and...
- 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...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $278,077 to Northeastern University to create computer simulations that will help scientists study how organic molecules form crystals when mixed with a liquid and placed inside nanomaterials. The project aims to understand how confinement in nanopores affects the nucleation of crystal formation, which is important for developing more effective medicines and stronger materials for...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund a collaborative research effort to create computer simulations that study how organic molecules form crystals when mixed with liquids and placed inside nanomaterials. The $312,589 award to North Carolina State University will run from July 1, 2025 to June 30, 2028. The goal is to better understand how the tiny spaces of nanopores affect the nucleation and formation of these crystals,...
- 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...
- The National Science Foundation (NSF) awarded the University of New Mexico (UNM) a $500,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research on the design of heterochiral DNA nanostructures for biomaterials applications. The project aims to study the structure and function of these hybrid DNA materials that combine right-handed (D-DNA) and left-handed (L-DNA) forms, and to use computational modeling and experimental...
- The National Science Foundation (NSF) has awarded a $599,468 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Austin. The grant, titled "HCC:SMALL: NEURAL SHAPE GENERATORS UNDER GEOMETRIC, PHYSICAL, AND TOPOLOGICAL PRIORS -SHAPE SYNTHESIS?CREATING FORMAL DESCRIPTIONS OF NOVEL 3-D SHAPES," will fund research to develop a computational framework that incorporates physical, topological, and geometrical preferences...
- The National Science Foundation awarded a $298,911 Project Grant to New York University under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to support collaborative research on water-responsive, shape-shifting supramolecular protein assemblies. Over a three-year period from August 2023 to July 2026, NYU will work with professors from New York University, CUNY Advanced Science Research Center, and CUNY City College to develop protein polymers that can respond to...
This National Science Foundation (NSF) Project Grant Award, under the CFDA Program 47.070 Computer and Information Science and Engineering, provides $355,000.00 to New York University (NYU) from September 1, 2025 through August 31, 2028 to conduct collaborative research on "Algorithmic Shape Encoding at the Nanoscale." The research aims to develop mathematical tools to distinguish molecules based on their 3D shapes and structures, and then use these tools to create a new "Algorithmic Shape Encoding" programming framework. Researchers will construct increasingly complex 3D nanomaterial structures using small DNA tiles as modular pieces, drawing inspiration from nature's ability to link form and function. Expected outcomes include breakthroughs in self-assembling materials, biocomputing, and optical communication systems, as well as interdisciplinary training across mathematics, engineering, and chemistry.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $355.0k | 8/23/25 |