Project Grant 2452572
- This $305,983 collaborative research project, funded by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), aims to establish how sequence-controlled polymers can be used for the rational design of surfactant-containing materials. The University of Massachusetts, the award recipient, will leverage sequence-defined polypeptides to modulate the assembly of surfactants into various nanostructures. The research will involve experimental work using optical...
- This $273,055 Project Grant awarded by the National Science Foundation's (NSF) Division of Materials Research under the Mathematical and Physical Sciences (CFDA 47.049) program supports theoretical and computational research on charge patterning and molecular interactions in polyelectrolyte/particle phase behavior. The research aims to advance understanding of how molecular structure, particle configuration, and charge patterning affect phase separation in complex coacervates formed between...
- This $254,856 federal Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports data-intensive and computational research and education at the University of Illinois. The project aims to develop a new machine learning framework for the inverse design of sequence-defined macromolecules that can self-assemble into targeted morphologies and properties. The research will leverage generative deep learning models to predict the...
- This Project Grant award for $140,390 was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The award supports research to develop porous peptide frameworks inspired by the modular architecture of proteins. The research aims to engineer these frameworks by appending peptides with aromatic π-stackers to guide the predictable self-assembly of the peptides into sophisticated porous materials. If successful, these...
- This $688,144 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports a collaborative research effort led by Professors Ilya Zharov and John Conboy of the University of Utah. The project aims to elucidate the molecular-level interactions between polymer-grafted silica nanoparticles during self-assembly using sum frequency generation (SFG) vibrational spectroscopy. The researchers will systematically investigate how...
- This $381,000 three-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research at Northwestern University to develop an accurate hierarchical modeling approach for understanding the structural and mechanical properties of polymer grafted nanoparticle materials. The research will employ molecular simulations, theory, and machine learning to explain how variability in nanoparticle and polymer graft size, known as dispersity,...
- This $401,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research at the University of California, Irvine (UCI) to fundamentally understand the structure, dynamics, and encapsulation behavior of multiphase amphiphilic block copolymers in solution. The project aims to establish robust relationships between polymer structures, solution conditions, and phase behaviors through advanced characterization techniques. It will also...
- This $510,000 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop "tempered dynamic covalent networks" - materials that can be processed at lower temperatures to access a wide range of properties. The University of Chicago, the award recipient, will explore this approach to create versatile, sustainable plastic materials that can be readily recycled. The interdisciplinary research...
- The National Science Foundation Division of Materials Research awarded a $326,199 Project Grant to the University of South Florida under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to conduct collaborative research from July 1, 2023 to June 30, 2026. The award will support integrated experiments and molecular dynamics simulations to understand the mechanism and consequences of polymer adsorption in films and nanocomposites. Researchers will employ fluorescence...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $273,291 to the University of California, Santa Barbara to develop computational tools that combine machine learning and scientific computing for the exploration and prediction of polymer systems. The goal is to accelerate the discovery of new materials and provide a framework for computationally costly problems across various scientific domains. The research...
This federal Project Grant award for $263,403, provided by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), supports collaborative research at the University of Illinois to investigate how sequence-controlled polymers can be used to rationally design surfactant-containing materials. The research will leverage sequence-defined polypeptides to modulate the assembly of surfactants into various nanoscale structures, which will be evaluated through techniques like microscopy and rheology. The project aims to establish the relationship between polypeptide sequence and assembled structure, integrating experimental work with computational modeling. This biology-inspired materials research has the potential for diverse applications across chemical, agricultural, and industrial sectors, while also providing interdisciplinary training for students and engagement with K-12 students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $263.4k | 8/21/25 |