You are invited to attend a lecture

By

Godkin Andrey

Fabrication and Simulation of Electrostatically-formed Nanowire

Abstract

Silicon Nanowires (SiNWs) based field-effect transistors (FETs) are promising sensing devices and building

blocks for logic applications. SiNW based FETs are highly sensitive due to their high surface to volume ratio

and provide ultra-fast switching capabilities.

However, SiNWs FETs are incompatible with mass production mainly because of the complicated

fabrication methods and inhibiting integration into standard semiconductor processing.

The electrostatically-formed Nanowire (EFN) provides an alternative approach combining metal oxide

semiconductor (MOS) FET and JFET like transistors in one device where the conducting channel is

electrostatically tunable in its shape and diameter. Moreover, it is compatible with the standard CMOS

production process. Recently, the EFN was successfully applied as a gas sensor with parts per million (PPM)

sensitivity to ethanol vapor.

The main objective of this thesis was to simulate the fabrication of the second generation EFN conducted

by Tower Jazz, and simulate the electrical and sensing measurements. High-resolution functional imaging

and doping profiling was used to evaluate the process and the produced EFN device. It was found with

Kelvin probe force microscopy in combination with 3D electrostatic simulations that the EFN device is

tunable in its width from 46 to 16 nm.

In addition we demonstrate a threshold Logic with Multiple Gates EFN Transistor. It is a new concept for

integrated circuits, enabling more compact design blocks, reduced silicon chip area and hopefully smaller

power consumption.  In addition, we present the concept of a Multiple State EFN Transistor (MSET) that

uses the capability of the EFN to control the position of the channel by applying gate voltages, to navigate

from source to multiple drains. It is predicted to increase logic states from binary to more complex designs

and achieve lower power, switching speed and total footprint of future IC building blocks.

Thursday, May 19, 2015, at 15:00

Room 200, Wolfson building.

A simulation model of computer-aided visual search

Herman Ravkin – M.Sc. student

Abstract:

We perform visual search whenever we look for a specific object in our environment.  In recent years visual search in areas, such as medicine or military applications is supported by automated detection systems. The question arises how computer aided object detection interacts with human decision making. The purpose of this study is to create a simulation model of the human decision process in a visual search task aided by computer, and to acquire a deeper understanding of cue influences on this decision process. The model addresses the effect of the cue: its influence on the visual scanning and its influence on items classification.

The comparison of the results of the simulation model to empirical data shows that our simulation model can explain a significant part of the process variability, especially with regard to the decision itself. From the analysis of the simulation results we found that cues might affect the rate of decision convergence in humans and the number of evidences they are willing to collect before making the decision. This fact can explain why computer-aided decision quality is worse than would be expected from an information-theoretic point of view: humans look for a "good enough" decision, and they are willing to trade a marginal improvement in decision quality for faster processes. We also found the secondary effect of cues through the change in humans' scanning strategy.

This work was performed under the supervision of Prof. Joachim Meyer.

ההרצאה תתקיים ביום חמישי 21.5.15, בשעה 14:00, בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב.

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