Nanoelectronic molecular and magnetic tunnel junction (MTJ) MRAM crossbar memory systems have the potential to present significant area advantages (4 to 6F(2)) compared to CMOS-based systems. The scalability of these conductivity-switched RAM arrays is examined by establishing criteria for correct functionality based on the readout margin. Using a combined circuit theoretical modelling and simu...

Silicon technology and nanoelectronics are two important components which will shape the future of the IC industry. This paper discusses their mutual interaction, i.e. the contribution that nanotechnology may o er to the evolution of MOS processing, as well as the role that silicon technology could play in the projected development of nanoelectronic

Our group is developing artificial neural networks that may be implemented using hybrid semiconductor/molecular (“CMOL”) circuits. Estimates show that such networks (“CrossNets”) may eventually exceed the mammal brain in areal density, at much higher speed and acceptable power consumption. In this report, we demonstrate that CrossNets based on simple (two-terminal) molecular devices can work we...

quantum-dot cellular automata (qca) is an emerging and promising technology that provides significant improvements over cmos. recently qca has been advocated as an applicant for implementing reversible circuits. however qca, like other nanotechnologies, suffers from a high fault rate. the main purpose of this paper is to develop a fault tolerant model of qca circuits by redundancy in hardware a...

This master’s thesis is about the use of machine learning techniques in the field of nanoelectronic circuit design. It has been developed in collaboration with eSilicon Corporation, which is a company specialized in designing and producing Application-specific integrated circuit (ASIC). While specific integrated circuits require several resources to be designed. Most of them can be classified a...