NSF-DFG Lead Agency Activity in Chemistry and Transport in Confined Spaces - Expression of Interest

Sponsor Deadline: 

Nov 29, 2021

Letter of Intent Deadline: 

Nov 29, 2021

Sponsor: 

National Science Fdn., Deutsche Forschungsgemeinschaft

UI Contact: 

NSF-DFG Lead Agency Activity in Chemistry and Transport in Confined Spaces (NSF-DFG Confine)
NSF 21-626
https://www.nsf.gov/pubs/2021/nsf21626/nsf21626.htm?WT.mc_ev=click&WT.mc_id=USNSF_25&utm_medium=email&utm_source=govdelivery
An Expression of Interest (EOI) must be submitted to NSFDFG@nsf.gov by November 29, 2021, prior to the submission of a full proposal.
 

Recognizing the importance of international collaborations in promoting scientific discoveries, the National Science Foundation and the Deutsche Forschungsgemeinschaft (German Research Foundation, DFG) have signed a Memorandum of Understanding (MoU) on research cooperation. The MoU provides an overarching framework to enhance opportunities for collaborative activities between US and German research communities and sets out the principles by which jointly-supported activities might be developed. To facilitate the support of collaborative work between US researchers and their German counterparts under this MoU, the Division of Chemistry (CHE) and the Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET) at the NSF and the Divisions of Physics and Chemistry and Engineering Sciences at the DFG are pleased to announce a Lead Agency Opportunity in the areas of Chemistry and Transport in Confined Spaces.

Chemical and physical processes that operate under spatial confinement often exhibit complex, interesting, and poorly understood variations in chemical properties and physical dynamics. Many such systems are intrinsically nonlinear and dynamic, often involving simultaneous reaction, diffusion and convection and/or chemical processes far from equilibrium. Improved experimental and computational tools are needed to predict how variations over the confinement length scale affect the overall dynamics and efficiency of large-scale processes. Much of the needed research requires synergistic efforts among those versed in the applications and experts in measurement techniques, modeling methods, and data analysis.

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