Graphene, a single-atom-thick and two-dimensional carbon material, has attracted great attention recently. Because of its unique electrical, physical, and optical properties, graphene has great potential to be a novel alternative to carbon nanotubes in biosensing. We demonstrate the use of large-sized CVD grown graphene films configured as field-effect transistors for real-time biomolecular sen...

Hybrid “CMOL” integrated circuits, incorporating advanced CMOS devices for neural cell bodies, nanowires as axons and dendrites, and singlemolecule latching switches as synapses, may be used for the hardware implementation of extremely dense (~10 cells and ~10 synapses per cm) neuromorphic networks, operating up to 10 times faster than their biological prototypes. We are exploring several “Cros...

As device features near atomic dimensions, simulations of electrical currents need to be based on a quantummechanical description of the system rather than a classical one. New phenomena appear which can be exploited for novel device characteristics, but also fundamental challenges arise when the influence of single defects can have devastating effects. From a metrological perspective, the very...

Single-walled carbon nanotubes (SWNTs) possess fascinating electrical properties and offer new entries into a wide range of novel electronic applications that are unattainable with conventional Si-based devices. The field initially focused on the use of individual or parallel arrays of nanotubes as the channel material for ultra-scaled nanoelectronic devices. However, the challenge in the deter...

Nanoscale crossbar architectures have received steadily growing interests as a result of their great potential to be main building blocks in nanoelectronic circuits. However, due to the extremely small size of nanodevices and the bottom-up self-assembly nanofabrication process, considerable process variation will be an inherent vice for crossbar nanoarchitectures. In this paper, the variation t...

Over the past decade Spiking Neural Networks (SNN) have emerged as one of the popular architectures to emulate the brain. In SNN, information is temporally encoded and communication between neurons is accomplished by means of spikes. In such networks, spike-timing dependent plasticity mechanisms require the online programming of synapses based on the temporal information of spikes transmitted b...

An overview of models used for the simulation of current transport in nanoelectronic devices within the framework of TCAD applications is presented. Modern enhancements of semiclassical transport models based on microscopic theories as well as quantum mechanical methods used to describe coherent and dissipative quantum transport are specifically addressed. This comprises the incorporation of qu...

The development of three-dimensional (3D) synthetic biomaterials as structural and bioactive scaffolds is central to fields ranging from cellular biophysics to regenerative medicine. As of yet, these scaffolds cannot electrically probe the physicochemical and biological microenvironments throughout their 3D and macroporous interior, although this capability could have a marked impact in both el...

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