Browse Articles

The growing memristor industry

Evaluation of different inclusion levels of a novel ingredient combination on growth performance, nutrient utilization and gene expression in Penaeus vannamei

Polarization independent silicon micro antenna based on a subwavelength metamaterial

Abstract Optical antennas are key components of an optical phased array system, enabling light coupling between the chip and the free space. In such systems, surface gratings are commonly used as antenna elements, which however suffer from a strong polarization sensitivity of their scattering angle and efficiency. Here, we propose a versatile approach to realize micro antennas based on surface gratings with a polarization insensitive behavior exploiting a subwavelength metamaterial in the silicon-on-insulator platform. In the experimental demonstration, the antenna successfully achieves the same diffraction angle of 10° for both TE and TM polarizations and an estimated scattering efficiency of -4 dB despite a very compact footprint of 6.4 $$\mu m$$ x 2.9 $$\mu m$$ . The difference in diffraction efficiency between the two polarizations remains smaller than 1 dB over a bandwidth of 31 nm.

Receptor-binding specificity of a bovine influenza A virus

Research on improved RRT path planning algorithm based on multi-strategy fusion

Research on rumor and anti rumor propagation models based on quantum superposition states

Innovative BWM–TOPSIS-based approach to determine the optimum delivery method for offshore projects

Abstract Offshore projects hold significant importance in the construction industry by fostering innovation, enabling large-scale infrastructure development, and supporting the expansion of renewable energy sources, enhancing global energy security and economic stability. Effective risk management is crucial in offshore projects to ensure operational safety, sustainability, and financial viability by identifying, assessing, and mitigating potential hazards. Selecting an appropriate project delivery method (PDM) is pivotal for efficient risk management, as it facilitates the proper allocation and mitigation of risks throughout the construction process. This study aims to investigate the impact of PDM on the risk assessment of the lifecycle of offshore platform projects and to identify and evaluate risks associated with offshore projects to improve understanding and optimize performance outcomes. In order To achieve the study’s objective, the Best Worst Method (BWM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are utilized for a lifecycle-focused risk assessment to identify the optimum PDM for offshore projects. A BWM–TOPSIS system is developed specifically for offshore projects, starting with organizing risks identified from the literature into a Risk Breakdown Structure (RBS) and subsequent evaluation using the Delphi technique for comprehensive and reliable risk analysis. The findings indicate that Integrated Project Delivery (IPD) and Construction Manager at Risk (CMAR) are the most effective methods due to their higher levels of integration, collaboration, and proactive risk management.

CFD comparison of water based SiO2 nanofluid with benchmark MEA amine solution for CO2 capture through porous membrane contactor

Citizens in democratic countries have more benevolent traits, fewer malevolent traits, and greater well-being

Kiam wood, Cotylelobium lanceotatum, extract as a natural antimicrobial agent: protecting Pacific white shrimp, Penaeus vannamei, against vibriosis

The future of Alzheimer’s treatment

Visible light active Cu(3−x)ZnxSnS4 for efficient photocatalytic degradation of brilliant green dye

Structural and functional changes of insula subregions in migraine without aura and their relationships with pain perception

Don’t believe the hype — quantum tech can’t yet solve real-world problems

Identifying biomarkers of sheep welfare using a metabolic discrepancy model

Towards multimodal foundation models in molecular cell biology

A dual-pathway architecture for stress to disrupt agency and promote habit

Characteristics and controlling factors of seismic site response at a crystalline bedrock site based on quality factor inversion using deep borehole data

Deep learning and sentence embeddings for detection of clickbait news from online content

Simulating the non-Hermitian dynamics of financial option pricing with quantum computers

Abstract The Schrödinger equation describes how quantum states evolve according to the Hamiltonian of the system. For physical systems, we have it that the Hamiltonian must be a Hermitian operator to ensure unitary dynamics. For anti-Hermitian Hamiltonians, the Schrödinger equation instead models the evolution of quantum states in imaginary time. This process of imaginary time evolution has been used successfully to calculate the ground state of a quantum system. Although imaginary time evolution is non-unitary, the normalised dynamics of this evolution can be simulated on a quantum computer using the quantum imaginary time evolution (QITE) algorithm. In this paper, we broaden the scope of QITE by removing its restriction to anti-Hermitian Hamiltonians, which allows us to solve any partial differential equation (PDE) that is equivalent to the Schrödinger equation with an arbitrary, non-Hermitian Hamiltonian. An example of such a PDE is the famous Black-Scholes equation that models the price of financial derivatives. We will demonstrate how our generalised QITE methodology offers a feasible approach for real-world applications by using it to price various European option contracts modelled according to the Black-Scholes equation.