Expanding the world of 2D materials Two-dimensional (2D) have a wide variety potential applications in electronics industry. However, certain compositions are difficult to obtain owing challenges exfoliating thin sheets from bulk crystals. Zavabeti et al. exploited liquid metals synthesize Ga 2 O 3 , HfO Gd and Al . The appear as surface layer gallium-based after Hf, Gd, or is dissolved into alloy. oxide that appears on with lowest energy, suggesting it should be possible make other oxides...

Abstract A variety of deposition methods for two-dimensional crystals have been demonstrated; however, their wafer-scale remains a challenge. Here we introduce technique depositing and patterning metal chalcogenide compounds by transforming the native interfacial oxide layer low melting point precursors (group III IV) in liquid form. In an oxygen-containing atmosphere, these metals establish atomically thin self-limiting reaction. The increases wettability placed on oxygen-terminated...

Large-capacity content addressable memory (CAM) is a key element in wide variety of applications. The inevitable complexities scaling MOS transistors introduce major challenge the realization such systems. Convergence disparate technologies, which are compatible with CMOS processing, may allow extension Moore's Law for few more years. This paper provides new approach towards design and modeling Memory resistor (Memristor)-based CAM (MCAM) using combination memristor devices to form core...

In 2008, researchers at the Hewlett–Packard (HP) laboratories published a paper in Nature reporting development of new basic circuit element that completes missing link between charge and flux linkage, which was postulated by Chua 1971 (Chua IEEE Trans. Circuit Theory 18 , 507–519 ( doi:10.1109/TCT.1971.1083337 )). The HP memristor is based on nanometre scale TiO 2 thin film, containing a— doped region an undoped region. Further to proposed applications memristors artificial biological...

Physical unclonable functions (PUFs) are increasingly used for authentication and identification applications as well the cryptographic key generation. An important feature of a PUF is reliance on minute random variations in fabricated hardware to derive trusted key. Currently, most designs focus exploiting process intrinsic CMOS technology. In recent years, progress emerging nanoelectronic devices has demonstrated an increase variation consequence scaling down nanoregion. To date, PUFs with...

The nonvolatile memory property of a memristor enables the realization new methods for variety computational engines ranging from innovative memristive-based neuromorphic circuitry through to advanced applications. nanometer-scale feature device creates opportunity circuits that in some cases are not possible or have inefficient present and established design domain. nature boundary, complexity ionic transport tunneling mechanism, nanoscale introduces challenges modeling, characterization,...

Abstract Physical unclonable functions (PUFs) exploit the intrinsic complexity and irreproducibility of physical systems to generate secret information. The advantage is that PUFs have potential provide fundamentally higher security than traditional cryptographic methods by preventing cloning devices extraction keys. Most PUF designs focus on exploiting process variations in Complementary Metal Oxide Semiconductor (CMOS) technology. In recent years, progress nanoelectronic such as memristors...

Many outstanding studies have reported promising results in seizure forecasting, one of the most challenging predictive data analysis problems. This is mainly because electroencephalogram (EEG) bio-signal intensity very small, $\mu \text{V}$ range, and there are significant sensing difficulties given physiological non-physiological artifacts. Today process accurate epileptic identification labeling done by neurologists. The current unpredictability activities together with lack reliable...

In this paper, we introduce two new 4-moduli sets {2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> -1, 2 , +1, xmlns:xlink="http://www.w3.org/1999/xlink">2n+1</sup> -1} and xmlns:xlink="http://www.w3.org/1999/xlink">2n</sup> +1} for developing efficient large dynamic range (DR) residue number systems (RNS). These moduli consist of simple well-formed which can result in implementation the reverse converter as well internal RNS...

Quantum dot Cellular Automata (QCA) is a novel and potentially attractive technology for implementing computing architectures at the nanoscale. The basic Boolean primitive in QCA majority gate. In this paper we present design cells another possible unconventional scheme gates. By applying these items, hardware requirements can be reduced circuits simpler level gate counts. As an example, 1-bit adder constructed by our new compared to other existing implementation. Beside, some functions are...

In this paper a new low power and high performance adder cell using design style called “Bridge” is proposed. The bridge enjoys degree of regularity, higher density than conventional CMOS as well lower consumption, by some transistors, named transistors. Simulation results illustrate the superiority resulting proposed against 1-bit full-adder in terms power, delay PDP. We have performed simulations HSPICE 90 nanometer (nm) standard technology at room temperature; with supply voltage...

Low cost pervasive devices such as RFID (radio-frequency identification) tags and sensor nodes are increasingly becoming part of the fabric life. Using these to store collect data securely is a challenge because stringent requirements on power area constrain implementation standard cryptographic mechanisms. In this paper, we propose secure lightweight authentication protocol for resource scarce built upon physical unclonable function (PUF) primitive termed Obfuscated PUF (OB-PUF) variant...

This paper presents a complete 256-electrode retinal prosthesis chip, which is small and ready for packaging implantation. It contains 256 separate programmable drivers dedicated to electrodes flexible stimulation. A 4-wire interface employed power data transmission between the chip driving unit. Power forward are recovered from 600 kHz differential signal, while backward sent at 100 kbps rate simultaneously. The stimulator possesses many stimulation features, supporting various strategies....

Metal–oxide valence‐change memristive devices are the key contenders for development of multilevel nonvolatile analog memories and neuromorphic computing architectures. Reliable low energy performance tunability nonlinear resistive switching dynamics essential to streamline high‐density circuit level integration these devices. Here, manipulation room temperature‐synthesized defect chemistry is employed enhance tune characteristics high‐performance amorphous SrTiO 3 ( a ‐STO) memristors....

Detecting seizure using brain neuroactivations recorded by intracranial electroencephalogram (iEEG) has been widely used for monitoring, diagnosing, and closed-loop therapy of epileptic patients, however, computational efficiency gains are needed if state-of-the-art methods to be implemented in implanted devices. We present a novel method automatic detection based on iEEG data that outperforms current terms while maintaining the accuracy. The proposed algorithm incorporates an channel...

Outstanding seizure detection algorithms have been developed over past two decades. Despite this success, their implementations as part of implantable or wearable devices are still limited. These works mainly based on heavily handcrafted feature extraction, which is computationally expensive and shown to be data set specific. issues greatly limit the applicability such methods hardware implementation, including in-silicon application specific integrated circuits. In paper, we propose an...

Epilepsy affects nearly [Formula: see text] of the global population, which two thirds can be treated by anti-epileptic drugs and a much lower percentage surgery. Diagnostic procedures for epilepsy monitoring are highly specialized labour-intensive. The accuracy diagnosis is also complicated overlapping medical symptoms, varying levels experience inter-observer variability among clinical professions. This paper proposes novel hybrid bilinear deep learning network with an application in...

Abstract The vast majority of studies that process and analyze neural signals are conducted on cloud computing resources, which is often necessary for the demanding requirements deep network workloads. However, applications such as epileptic seizure detection stand to benefit from edge devices can securely sensitive medical data in a real-time personalised manner. In this work, we propose novel neuromorphic approach using surrogate gradient-based spiking (SNN), consists ConvLSTM unit. We...

Abstract Purpose This study introduces an algorithm specifically designed for processing unprocessed 12-lead electrocardiogram (ECG) data, with the primary aim of detecting cardiac abnormalities. Methods The proposed model integrates Diagonal State Space Sequence (S4D) into its architecture, leveraging effectiveness in capturing dynamics within time-series data. S4D is stacked layers raw input data and a simplified decoder using dense layer predicting abnormality types. Experimental...

Nearly 1% of people worldwide suffer from epilepsy. Electroencephalogram (EEG)-based diagnostics and monitoring tools, such as scalp EEG, subscalp stereo or sub/epi-dural EEG recordings [also known electrocorticography (ECoG)], are widely used in different settings the gold standard techniques to perform seizure identification, localization, more primarily epilepsy suspected patients. Techniques ECoG offer long-term brain interaction, potentially replacing traditional electroceuticals with...

A new low-power full-adder based on CMOS inverter is presented. This comprised of inverters. Universal gates such as NOR, NAND and MAJORITY-NOT are implemented with a set inverters non-conventional implementation them. In the proposed design approach time consuming XOR eliminated. As full-adders frequently employed in tree-structured configuration for high-performance arithmetic circuits, cascaded simulation structure to evaluate realistic application environment. The circuits being studied...

As conventional memory technologies are challenged by their technological physical limits, emerging driven novel materials becoming an attractive option for future architectures. Among these technologies, Resistive Memories (ReRAM) created new possibilities because of nanofeatures and unique <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</i> - xmlns:xlink="http://www.w3.org/1999/xlink">V</i> characteristics. One particular problem that limits...