User profiles for K. Kar
 | Kohitij KãrAssistant Professor (Canada Research Chair), York University, Toronto Verified email at mit.edu Cited by 2901 |
Heteroatom doped graphene engineering for energy storage and conversion
Heteroatom-doped graphene and its derived layered materials play a substantial role in
several emerging science fields, demonstrating great potential for implementation in new …
several emerging science fields, demonstrating great potential for implementation in new …
Recent advances in thermoelectric materials
C Gayner, KK Kar - Progress in Materials Science, 2016 - Elsevier
Thermoelectric materials are crucial in renewable energy conversion technologies to solve
the global energy crisis. They have been proven to be suitable for high-end technological …
the global energy crisis. They have been proven to be suitable for high-end technological …
Laser processing of graphene and related materials for energy storage: State of the art and future prospects
Laser-based methodologies for synthesis, reduction, modification and assembly of
graphene-based materials are highly demanded for energy-related electrodes and devices for …
graphene-based materials are highly demanded for energy-related electrodes and devices for …
Recent progress on carbon-based composite materials for microwave electromagnetic interference shielding
The demand for electromagnetic interference (EMI) shielding has increased strongly in the
last few years, owing to the fast technological developments in the electronics industry. In …
last few years, owing to the fast technological developments in the electronics industry. In …
Recent progress in the synthesis of graphene and derived materials for next generation electrodes of high performance lithium ion batteries
The importance of graphene and its derivatives for “clean energy” applications became
apparent over the last few years due to their exceptional characteristics, especially regarding …
apparent over the last few years due to their exceptional characteristics, especially regarding …
Brain-score: Which artificial neural network for object recognition is most brain-like?
The internal representations of early deep artificial neural networks (ANNs) were found to
be remarkably similar to the internal neural representations measured experimentally in the …
be remarkably similar to the internal neural representations measured experimentally in the …
Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior
Non-recurrent deep convolutional neural networks (CNNs) are currently the best at modeling
core object recognition, a behavior that is supported by the densely recurrent primate …
core object recognition, a behavior that is supported by the densely recurrent primate …
Node placement for connected coverage in sensor networks
K Kar, S Banerjee - WiOpt'03: Modeling and Optimization in Mobile …, 2003 - inria.hal.science
… For every even integer k, place an r-strip oriented parallel to the x-axis such that the point
(0,k( … For every odd integer k, place two r-disks, at (0,k( …
(0,k( … For every odd integer k, place two r-disks, at (0,k( …
[BOOK][B] Handbook on community-led total sanitation
K Kar, R Chambers - 2008 - bloodwater.org
The CLTS approach originates from Kamal Kar’s evaluation of WaterAid Bangladesh and
their local partner organisation–VERC’s (Village Education Resource Centre is a local NGO) …
their local partner organisation–VERC’s (Village Education Resource Centre is a local NGO) …
Synthesis and characterization of elastic and macroporous chitosan–gelatin cryogels for tissue engineering
Elastic chitosan–gelatin cryogels of varying concentration of polymer precursors have been
synthesized using glutaraldehyde as a crosslinking agent. The optimum co-polymer ratio of …
synthesized using glutaraldehyde as a crosslinking agent. The optimum co-polymer ratio of …