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Nicholas G. Dou
Researcher at Massachusetts Institute of Technology
Publications - 8
Citations - 1168
Nicholas G. Dou is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Condensation & Thermal conductivity. The author has an hindex of 5, co-authored 8 publications receiving 943 citations. Previous affiliations of Nicholas G. Dou include California Institute of Technology.
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Journal ArticleDOI
Jumping-Droplet-Enhanced Condensation on Scalable Superhydrophobic Nanostructured Surfaces
Nenad Miljkovic,Ryan Enright,Ryan Enright,Youngsuk Nam,Youngsuk Nam,Ken Lopez,Nicholas G. Dou,Jean Sack,Evelyn N. Wang +8 more
TL;DR: This work shows that silanized copper oxide surfaces created via a simple fabrication method can achieve highly efficient jumping-droplet condensation heat transfer and promises a low cost and scalable approach to increase efficiency for applications such as atmospheric water harvesting and dehumidification.
Journal ArticleDOI
Condensation on superhydrophobic copper oxide nanostructures
Proceedings ArticleDOI
Condensation on superhydrophobic copper oxide nanostructures
TL;DR: In this paper, a scalable synthesis technique to produce oxide nanostructures on copper surfaces capable of sustaining superhydrophobic condensation and characterized the growth and departure behavior of condensed droplets.
Journal ArticleDOI
Ultralow Thermal Conductivity and Mechanical Resilience of Architected Nanolattices
Nicholas G. Dou,Robert A. Jagt,Robert A. Jagt,Carlos M. Portela,Julia R. Greer,Austin J. Minnich +5 more
TL;DR: This work reports that nanolattices composed of 24- to 182-nm-thick hollow alumina beams in the octet-truss architecture achieved thermal conductivities as low as 2 mW m-1 K-1 at room temperature while maintaining specific stiffnesses of 0.3 to 3 MPa kg-1 m3 and the ability to recover from large deformations.
Journal ArticleDOI
Heat conduction in multifunctional nanotrusses studied using Boltzmann transport equation
TL;DR: In this paper, heat conduction in the exact nanotruss geometry was studied by solving the frequency-dependent Boltzmann transport equation using a variance-reduced Monte Carlo algorithm.