L
Lana Joharji
Researcher at King Abdulaziz University
Publications - 5
Citations - 227
Lana Joharji is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 1 publications receiving 43 citations.
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Journal ArticleDOI
Soft Actuators for Soft Robotic Applications: A Review
Nazek El-Atab,Rishabh Bhooshan Mishra,Rishabh Bhooshan Mishra,Fhad Al-Modaf,Lana Joharji,Aljohara A. Alsharif,Haneen Alamoudi,Marlon Diaz,Nadeem Qaiser,Muhammad Mustafa Hussain,Muhammad Mustafa Hussain +10 more
TL;DR: In this article, the authors acknowledge generous support of the King Abdullah University of Science and Technology (KAUST), and acknowledge Dr Joanna M. Nassar, Dr Galo A. Torres, Dr Mohamed T. Ghoneim, Davide Priante, Jhonathan P. Rojas, Sigurdur T. Thoroddsen, and Prof. Boon S. Ooi who contributed to the “pause-embed-resume” data.
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4D printing: A detailed review of materials, techniques, and applications
TL;DR: A review of the latest significant basics and technological developments in 4D printing, as well as their features are presented in this article , with a focus on their properties, mechanisms, and possible implications or uses.
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A thermal microfluidic actuator based on a novel microheater
Nadeem Qaiser,Sherjeel M. Khan,Wedyan Babatain,Maha A. Nour,Lana Joharji,Sohail F. Shaikh,Nazek El-Atab,Muhammad Mustafa Hussain +7 more
TL;DR: In this article , a microfluidic actuator was integrated into a microheater and poly-dimethylsiloxane-expancel, controlling the operation/actuation of a fluid through a microchannel.
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Fabrication of Highly Dense Carbon Nanotubes with Improved Conductivity Using Shrinkable Polymer: Towards 4D Printing
Lana Joharji,Nazek El-Atab +1 more
TL;DR: Dong et al. as discussed by the authors proposed a new CNTs-solution process flow based on drop casting on a shrinkable polymer which allows to create a dense CNT mesh with reduced porosity, and thus improve the resulting film conductivity.
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Artificial visual perception neural system using a solution-processable MoS2-based in-memory light sensor
TL;DR: In this article , a two-terminal solution-processable MoS2 metal-oxide-semiconductor (MOS) charge-trapping memory structure was developed for in-memory light sensing and artificial visual perception.