Top Research Papers on VLSI

A scenario for 2030 for the Moroccan electricity system is studied and the challenges that need to be addressed are identified in order to accelerate the integration of renewable energies in the Moroccan energy mix and to achieve a possible export of such green energy towards Europe.

Abstract Graphs have provided an expressive mathematical tool to model quantum-mechanical devices and systems. In particular, it has been recently discovered that graph theory can be used to describe and design quantum components, devices, setups and systems, based on the two-dimensional lattice of parametric nonlinear optical crystals and linear optical circuits, different to the standard quantum photonic framework. Realizing such graph-theoretical quantum photonic hardware, however, remains extremely challenging experimentally using conventional technologies. Here we demonstrate a graph-theo...

A genome-wide association study of plasma protein levels measured with 4,907 aptamers in 35,559 Icelanders highlights links with over 370 disease endpoints and other traits.

Integrated photonics, particularly silicon photonics, have emerged as cutting-edge technology driven by promising applications such as short-reach communications, autonomous driving, biosensing and photonic computing1–4. As advances in AI lead to growing computing demands, photonic computing has gained considerable attention as an appealing candidate. Nonetheless, there are substantial technical challenges in the scaling up of integrated photonics systems to realize these advantages, such as ensuring consistent performance gains in upscaled integrated device clusters, establishing standard des...

The ability to assemble large numbers of nearly indistinguishable and tunable artificial atoms into phase-stable PICs marks a key step towards multiplexed quantum repeaters 7 and general-purpose quantum processors.

Intrinsically stretchable electronics with skin-like mechanical properties have been identified as a promising platform for emerging applications ranging from continuous physiological monitoring to real-time analysis of health conditions, to closed-loop delivery of autonomous medical treatment 1-7 . However, current technologies could only reach electrical performance at amorphous-silicon level (that is, charge-carrier mobility of about 1 cm 2 V -1 s -1 ), low integration scale (for example, 54 transistors per circuit) and limited functionalities 8-11 . Here we report high-density, intrinsical...

This work proposes a hybrid model based on a long short-term memory-based encoder-decoder neural network and a Savitzky-Golay filter that can investigate nonlinear characteristics in a complicated water environment.

In this review, the newly emerging methods for the large-scale production of CDs are summarized, such as microwave, ultrasonic, plasma, magnetic hyperthermia and microfluidic technology.

This work experimentally demonstrate continuous, multi-channel control of MRR weight banks using simple calibration procedures, achieving a record-high accuracy and precision for all the controlled MRRs.

Heat pumps can recover and upgrade industrial waste heat using renewable electricity, creating an essential technological lever to decarbonise thermal processes. High profitability requirements, unfavourable electricity-gas price ratios, and a lack of awareness of meaningful application possibilities among stakeholders from consultants and decision-makers, in both politics and companies, hinder further market penetration. To address these barriers, this review classifies 155 case studies of large-scale heat pumps to identify suitable characteristics that favour implementation. Unit operations,...

New, rapid, accurate, scalable, and cost-effective species discovery and delimitation methods are needed for tackling "dark taxa," here defined as groups for which $<$10$\%$ of all species are described and the estimated diversity exceeds 1,000 species. Species delimitation for these taxa should be based on multiple data sources ("integrative taxonomy") but collecting multiple types of data risks impeding a discovery process that is already too slow. We here develop large-scale integrative taxonomy (LIT), an explicit method where preliminary species hypotheses are generated based on inexpensiv...

Human olfactory sensors have a large variety of receptor cells that generate signature responses to various gaseous molecules. Ideally, artificial olfactory sensors should have arrays of diverse sensors. However, it is challenging to monolithically integrate large-scale arrays of different high-performance gas sensors. Here we report biomimetic olfactory chips that integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable sensors per chip. The range of sensors is achieved using an engineered material composition gradient. Supported by artificial intel...

This work demonstrated a 64 × 64 flexible tactile sensor array with a record-high spatial resolution of 0.9 mm by integrating a high-performance piezoresistive film (PRF) with a large-area active matrix of carbon nanotube thin-film transistors and hardware-implemented a smart tactile system.

An extensive review of research related to the main power system operational challenges with respect to the massive deployment of PV sources and various control approaches and applications of battery energy storage system (BESS) to improve the inertial response of a low-inertia power system is presented.

Abstract Uneven distribution of electric fields at the electrolyte–anode interface and associated Zn dendrite growth is one of the most critical barriers that limit the life span of aqueous zinc‐ion batteries. Herein, new‐type Zn–A–O (A = Si, Ti) interface layers with thin and uniform thickness, porosity, and hydrophilicity properties are developed to realize homogeneous and smooth Zn plating. For ZnSiO 3 nanosheet arrays on Zn foil (Zn@ZSO), their formation follows an “etching–nucleation–growth” mechanism that is confirmed by a well‐designed Zn‐island‐based identical‐location microscopy metho...

Producing hydrogen by water electrolysis with solar and wind energy will be one of the main methods of hydrogen production. The inherent intermittency and volatility are, however, the biggest obstacles to the utilization of these low-carbon resources. This limitation leads to an urgent need for fundamental analysis and system integration of renewable energy sources. In this paper, the random fluctuations of wind and solar energy were characterized by the spectral analysis method to explore underlying laws within. The base models of wind power and photoelectric (PV) power were defined to reveal...

The identification of large-scale NCPs in both monocot and dicot plants reveals that a much larger portion of the plant genome can be translated to biologically functional molecules, which has important implications in functional genomic studies.

This paper demonstrates its effectiveness on tasks with large scale datasets by investigating its application to the Google Multidomain Dataset and introduces a modification of SpecAugment that adapts the time mask size and/or multiplicity depending on the length of the utterance, which can potentially benefit large scale tasks.

The underlying theory behind the large-scale and linear scaling density functional theory code, conquest, is surveyed, which shows excellent parallel scaling and can be applied to thousands of atoms with diagonalization and millions of atom with linear scaling.

Currently, the energy grid is changing to fit the increasing energy demands but also to support the rapid penetration of renewable energy sources. As a result, energy storage devices emerge to add buffer capacity and to reinforce residential and commercial usage, as an attempt to improve the overall utilization of the available green energy. Although various research has been conducted in the field including photovoltaic and wind applications, the study on suitability identification of different storage devices for various stationary application types is still the gap observed which needs furt...