News
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Research highlights
2018-12-01 16:15
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Our group at the MRS 2018 fall meeting
2018-11-25 23:14
Spintronics
Developing and evaluating numerical solvers for nanomagnetic simulations. Simulation of switching mechanisms in nanomagnets. Developing and modeling spin-based logic devices, oscillators and hybrid spin CMOS systems in MATLAB, CUDA and SPICE. Design of spin-based True Random Number Generator. Security with spintronics devices.
Nanophotonics with graphene
Plasmonic nanostructures allow for electromagnetic energy to be confined to dimensions below the diffraction limit of light and can be used for several applications such as biosensing, photovoltaics, photodetection, and quantum information processing. Because plasmonic nanostructures realize high-field intensities in relatively small volumes, they can also help integrate electronics and photonics on the same chip.
Graphene ambipolar VS (AVS) model
We recently deployed AVS compact model that describes both static and dynamic behavior of graphene RF transistors. Graphene uniquely exhibits ambipolar conduction, a property that is useful for implementing single-transistor frequency doubler circuits. Model is implemented in both MATLAB and Verilog-A and also calibrated with experimental data on short-channel graphene FETs from MIT, Columbia University and IBM.
Nanohub NEEDS seminar
In a recent poll conducted by the International Technology Roadmap for Semiconductors (ITRS), graphene is named as the material most likely to have the greatest impact on geometric scaling. In my talk given at Purdue University, I examine the requirements and challenges that must be met for graphene electronics, and also discuss possible solutions. I also present opportunities for extending graphene technologies to solar cells, optical modulators, and photo-detectors.
Our research objectives are to understand, predict, and model physical phenomena in materials that drive their functional behavior and enable multifaceted applications in the domains of low-power logic and memory, sensing, brain-inspired computing, and wireless communication. Our research lies at the intersection of physics and electrical and computer engineering. We work closely with several centers at NYU including the Center for Quantum Phenomena, NYU Wireless, and the Center for Advanced Technology in Telecommunications.
Our research is funded by Boeing, NSF, SRC, and NYU Wireless Industrial Affiliates Program.