Project Grant 2505773
- 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 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...
- 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 $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Texas at Austin to develop DNA-based storage and computation techniques. Specifically, the award supports the creation of a "SIMD-DNA" paradigm that uses strand displacement reactions to manipulate digital data encoded in the topological structure of DNA. This approach aims to enable parallel, in-memory computation without...
- 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) 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 three-year, $930,252 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program, will support research exploring applications of digital microfluidic technology for DNA storage, computation, and synthetic biology. A team from the University of Minnesota will leverage an electronic platform developed by industrial partner Seagate to manipulate droplets and assemble DNA at...
- 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...
- This $480,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of novel approaches for assembling three-dimensional protein biomaterials. The primary goal is to create "coordinated protein frameworks" (CPFs) - extended protein lattices with defined geometries and tunable distances between the assembled proteins. This work leverages non-canonical amino acids to precisely control the...
- This $236,662 National Science Foundation award through the Mathematical and Physical Sciences program (CFDA 47.049) funds research at Emory University to develop novel biomimetic materials capable of simultaneously encoding both nucleic acid and protein information codes to control assembly and function. Specifically, the award supports exploration of "bilingual biopolymers" using peptide nucleic acid as a scaffold to direct structure based on both peptide and nucleic acid...
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, biocomputing, and optical communication systems, while also providing interdisciplinary training across mathematics, engineering, and chemistry. Key objectives include identifying structural features of DNA motifs that can encode information through molecular shape, and developing computational tools to predict and constrain the topologies of these 3D DNA building blocks. The award period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $223.4k | 8/23/25 |