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nanoHUB-U: Thermal Resistance in Electronic Devices
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2D Materials and Graphene: Science to Nanofunctions
04 Oct 2017 | Online Presentations | Contributor(s): Eric Pop, Saurabh Vinayak Suryavanshi
In collaboration with Ning Wang, Kirby Smithe and industrial collaboration with ARM, Lam, Northrop Grumman and CEA LETI
NEDS: Nano-Engineered Device Simulation Node
Openning Remarks: The Stanford NEEDS Program
28 Sep 2017 | Online Presentations | Contributor(s): Eric Pop
A Device to Systems Perspective on Modeling Nanoelectronic Systems
28 Sep 2017 | Workshops | Contributor(s): Mark Lundstrom, Eric Pop
This workshop is designed for graduate students and engineers seeking to assess the system performance of novel technologies. The workshop will give material and device researchers a better understanding of system constraints, and it will give designers a better understanding of how to assess novel device technologies. The use of open-source system analysis scripts developed at Stanford University will be illustrated by several case studies.
Stanford 2D Semiconductor (S2DS) Transistor Model 1.0.0
18 Aug 2014 | Compact Models | Contributor(s): Saurabh Vinayak Suryavanshi, Eric Pop
The Stanford 2D Semiconductor (S2DS) model is a physics-based, compact model for field-effect transistors (FETs) based on two-dimensional (2D) semiconductors such as MoS2. Version 1.0.0 represents the initial release. The model relies on the drift-diffusion approach, including quantum capacitance, simple band structure, velocity saturation, contact resistance and self-heating effects that are specific to 2D materials. The model has been developed for double-gate devices and employs approximations to simplify integrals and enable compact modeling of 2D-FETs. Caution should be taken while using the model for circuit simulation. This is the first attempt to develop a model for 2D semiconductors based on physics and experimental data with a minimum of fitting parameters. Future updates to the model are planned to make it more robust and accurate. As of now the model is stable for DC and limited AC simulations. For reference, please examine the sample circuit bench provided.
The equations and models used are outlined in the manual provided. The manual also contains details about the parameters and extraction method. Almost all parameters are physics-based and have been derived from experimental studies available at the time of this release. Some parameters will be updated in future versions of the model, as new data and other improvements become available.
Energy Dissipation at the Nanoscale: from graphene to phase-change materials
20 Dec 2011 | Online Presentations | Contributor(s): Eric Pop
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