H
Hossein Sojoudi
Researcher at University of Toledo
Publications - 58
Citations - 3553
Hossein Sojoudi is an academic researcher from University of Toledo. The author has contributed to research in topics: Graphene & Snow. The author has an hindex of 21, co-authored 53 publications receiving 2900 citations. Previous affiliations of Hossein Sojoudi include Massachusetts Institute of Technology & Louisiana State University.
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Patent
Nanoporous stamp printing of nanoparticulate inks
TL;DR: In this article, the authors have disclosed the methods of printing nanoparticulate ink using nanoporous print stamps, which can include a substrate, a patterned arrangement of carbon nanotubes disposed on the substrate, and a secondary material to reduce capillary-induced deformation of the pattern.
Journal ArticleDOI
Understanding mechanisms of snow removal from photovoltaic modules
TL;DR: In this article, the authors investigated natural snow accumulation and its removal from photovoltaic modules using a surface-mountable sensor that measures liquid water content (LWC) at the interface of snow and module's surface real-time.
Journal ArticleDOI
Understanding electrohydrodynamic (EHD) performance of corona discharge via particle image velocimetry (PIV)
TL;DR: In this paper , the authors investigated the pumping performance of an in-house built corona discharge setup for inducing circular motions in the fluids and derived an analytical model using the Navier-Stokes equations.
Proceedings ArticleDOI
Transparent Electrodes From Graphene/Single Wall Carbon Nanotube Composites
TL;DR: A transparent conductive electrode comprised of alternating layers of graphene grown by chemical vapor deposition (CVD) and metallic single wall nanotubes (M-SWNTs) is presented in this article.
Patent
Sensor for detection and measurement of ice, snow and liquid water content (lwc) and methods of using same
TL;DR: In this article, a sensor for detecting the presence and wetness of at least one medium, including ice, snow and water, on a surface of an object is described, and the sensor can detect the presence of water and ice on the surface of the object.