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This paper is intended to provide an expository, physics-based, framework for the estimation
of the performance potential and physical scaling limits of resistive memory. The approach …

Silicon-photonics is an emerging technology that can overcome the tradeoffs faced by
traditional electrical I/O. Due to ballooning development costs for advanced CMOS nodes, …

Memory is a key component of any data processing system. Following the classical Turing
machine approach, memories hold both the data to be processed and the rules for processing …

Perpendicular spin-transfer torque (p-STT) magnetic memory is gaining increasing interest
as a candidate for storage-class memory, embedded memory, and possible replacement of …

The true random number generator (TRNG) is a key enabling technology for cryptography
and hardware authentication, which are becoming essential features in the era of the Internet …

Spin-transfer torque random-access memory (STT-RAM) is gaining momentum as a
promising technology for high-density and embedded nonvolatile memory. Owing to random …

Titanium nitride (TiN) films are used extensively in advanced metallization schemes for
ultralarge scale integrated applications. In the present experiments, physical properties of thin …

The first monolithic process flow integrating silicon photonics on operational bulk CMOS has
been developed. Features include deep-trench isolation, polysilicon waveguides, grating …

We present numerical results from atomistic simulations of Cu in SiO 2 and Al 2 O 3, with an
emphasis on the thermodynamic, kinetic, and electronic properties. The calculated …