Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics


New academic paper out of USC Viterbi School of Engineering: Abstract "Ferroelectric materials exhibit a rich range of complex polar topologies, but their study under far-from-equilibrium optical excitation has been largely unexplored because of the difficulty in modeling the multiple spatiotemporal scales involved quantum-mechanically. To study optical excitation at spatiotemporal scales w... » read more

Brokerage System for Integration of LrWPAN Technologies


New academic paper from UK's Leeds Beckett University. Abstract "The prevalent demand for remote data sharing and connectivity has catalysed the development of many wireless network technologies. However, low-power and low-rate wireless network technologies have emerged as the preferred choice (due to cheap procurement and maintenance cost, efficiency, and adaptability). Currently, these gr... » read more

Neuromorphic chip integrated with a large-scale integration circuit and amorphous-metal-oxide semiconductor thin-film synapse devices


New academic paper from Nara Institute of Science and Technology (NAIST) and Ryukoku University. Abstract "Artificial intelligences are promising in future societies, and neural networks are typical technologies with the advantages such as self-organization, self-learning, parallel distributed computing, and fault tolerance, but their size and power consumption are large. Neuromorphic syste... » read more

Silicon Thermo-Optic Switches with Graphene Heaters Operating at Mid-Infrared Waveband


Abstract "The mid-infrared (MIR, 2–20 μm) waveband is of great interest for integrated photonics in many applications such as on-chip spectroscopic chemical sensing, and optical communication. Thermo-optic switches are essential to large-scale integrated photonic circuits at MIR wavebands. However, current technologies require a thick cladding layer, high driving voltages or may introduce h... » read more

A novel multimodal hand database for biometric authentication


Abstract "Biometric authentication is one of the most exciting areas in the era of security. Biometric authentication ideally refers to the process of identifying or verifying the user through physiological and behavioral measurements using security processes. Multimodal biometrics are preferred over unimodal biometrics due to the defensive nature of multimodal biometrics. This research intr... » read more

Nonvolatile Capacitive Crossbar Array for In-Memory Computing


Abstract "Conventional resistive crossbar array for in-memory computing suffers from high static current/power, serious IR drop, and sneak paths. In contrast, the “capacitive” crossbar array that harnesses transient current and charge transfer is gaining attention as it 1) only consumes dynamic power, 2) has no DC sneak paths and avoids severe IR drop (thus, selector-free), and 3) can be f... » read more

Qubits made by advanced semiconductor manufacturing


Abstract: "Full-scale quantum computers require the integration of millions of qubits, and the potential of using industrial semiconductor manufacturing to meet this need has driven the development of quantum computing in silicon quantum dots. However, fabrication has so far relied on electron-beam lithography and, with a few exceptions, conventional lift-off processes that suffer from low yie... » read more

The speed limit of optoelectronics


Abstract "Light-field driven charge motion links semiconductor technology to electric fields with attosecond temporal control. Motivated by ultimate-speed electron-based signal processing, strong-field excitation has been identified viable for the ultrafast manipulation of a solid’s electronic properties but found to evoke perplexing post-excitation dynamics. Here, we report on single-photon... » read more

An adaptive synaptic array using Fowler–Nordheim dynamic analog memory


Abstract "In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dynamical system in its own right, storing information in its temporal state trajectory. The state trajectories are then modulated by a sys... » read more

Fuzz, Penetration, and AI Testing for SoC Security Verification: Challenges and Solutions


Abstract "The ever-increasing usage and application of system-on-chips (SoCs) has resulted in the tremendous modernization of these architectures. For a modern SoC design, with the inclusion of numerous complex and heterogeneous intellectual properties (IPs),and its privacy-preserving declaration, there exists a wide variety of highly sensitive assets. These assets must be protected from any u... » read more

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