Event Details
SPICE Modeling Of Metal-Molecular Nanoelectronics Networks: An Exploration of Randomly Distributed Resistors & Diodes Modeling and Analysis
Presenter: Kenil Sandipkumar Naik
Supervisor:
Date: Fri, April 26, 2024
Time: 16:00:00 - 00:00:00
Place: Remote Via Zoom
ABSTRACT
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ABSTRACT:
An innovative approach to the development of metal-molecular nanoelectronic networks through LTSpice modeling is represented in this project, focusing on the simulation and analysis of randomly distributed resistor blocks and diodes in the network. In the digital era of miniaturization and increasing demand for secure electronic devices, this study incorporates a unique methodology for enhancing hardware security primitives and their performances. The approach proposed a novel methodology using a distinct resistor network circuit resembling that of the gold nanoparticle-molecular network configuration and their internal resistance and defects used for previous investigations regarding the same. A unique Mesh Resistor Network (MRN) with structured randomness based on the resistor network building blocks offers new insights into the correlation and electrical behaviors of nanoscale networks when examined. This novel procedure provides new opportunities to enhance the understanding of electronic transport in nanoparticles and evolves our development of robust hardware encryption keys for increased hardware security. To insert an additional tunable parameter, resistors in the formed MRN are replaced by the proportion of diodes. This adjustment introduces directional current flow and non-linear responses, aligning with the theoretical insights from the previous research. The integration of diodes, particularly in varied orientations, showcases the potential for creating complex, tunable electronic systems that leverage components' resistive and rectifying properties. Furthermore, this opens a broad spectrum of methods to design customized electronic devices with tunable properties for better security and performance, addressing the limitations of current network simulations. By systematically changing the position of the building block resistor network, the proportion of diodes and metal-gold particles in the Mesh Network provides tunable physical unclonable functions for the design of electronic devices with tunable electrical properties, paving a road for future advancements in molecular electronics and secure communication technologies.