This National Science Foundation (NSF) Project Grant award, funded under the NSF Engineering program (CFDA 47.041), supports a collaborative research project at Drexel University aimed at fabricating ordered nanoparticle-polymer superstructures through co-crystallization. The $328,000 award, effective from August 1, 2024 to July 31, 2027, will focus on (1) understanding the co-crystallization process of polymers and nanoparticles, (2) controlling the structure of nanoparticle crystalsomes formed...
This $450,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to understand and control the interfacial dynamics governing the formation of discrete tiles of nanoparticle assemblies on functionalized fluid interfaces. The research combines experimental and computational methods to investigate and manipulate the thermodynamic and kinetic factors influencing nanoparticle assembly at fluid interfaces. The goal is to achieve precise control...
This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will create computer simulations to study how organic molecules form crystals when mixed with a liquid and placed inside materials with tiny holes (nanopores). The $312,589 award to North Carolina State University, with a project period from Jul 1, 2025 to Jun 30, 2028, aims to understand how confinement in nanopores affects the nucleation and formation of crystal polymorphs. The...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund a collaborative research project at Northeastern University to develop computer simulations that study how organic molecules form crystals when mixed with a liquid and placed inside materials with tiny nanometer-scale pores. The $278,077 award, effective July 1, 2025 through June 30, 2028, aims to improve understanding of how confinement in nanopores affects the nucleation and...
This National Science Foundation Project Grant of $436,084 supports research at Carnegie Mellon University from May 2022 through April 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The award will fund the development of novel methods to control interactions between polymer and nanomaterial constituents in polymer nanocomposites. Specifically, the grantee will synthesize brush particle model systems and characterize the structure evolution of liquid-crystal phase...
This Project Grant award of $495,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at Drexel University to systematically investigate the formation process of polymer crystalsomes. Polymer crystalsomes are a class of hollow polymer nanoparticles with single crystal shells, which offer unique properties and potential applications in electronics, photonics, biomedicine, and additive manufacturing. The research aims to...
This National Science Foundation (NSF) Project Grant award under the Engineering (CFDA 47.041) program totaling $165,437 is funding research to visualize and characterize the motion and interaction of individual nanoparticles near surfaces. The awardee, Georgia Tech Research Corporation, will develop a workflow combining nanoscale microscopy with data-driven modeling to study how nanoparticles move and interact in heterogeneous environments, with applications in areas such as nanomedicine,...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $200,000 in funding to The Trustees of the Stevens Institute of Technology to investigate the behavior of molecules confined in small pores of polymeric nanoparticles. The project aims to synthesize porous polymeric nanospheres containing sacrificial gold nanoparticles, which will then be removed to create pores with controlled geometry and distribution. The research will explore how...
This $280,405 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund research to develop a data science-based framework for learning, predicting, and simulating the complex behaviors of large populations of advanced nanomaterials. The research aims to overcome challenges in reliably manufacturing dense populations of functional nanoparticles and nanocatalysts by combining in-situ environmental transmission electron microscopy (E-TEM)...
This $449,997 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research by the University of Houston System to study the phase-separation and partitioning behavior of polymer-grafted nanoparticle blends. The research aims to develop predictive models for the phase behavior and mechanical properties of these molecularly dispersed nanomaterials, which could enable the design of advanced polymer nanocomposites with...