Publications by authors named "Shahriar Rifat"

We report electrochemical measurements using in situ Raman spectroscopy at graphene/DO interfaces under extremely low applied potentials. Here, the hydrophobic and catalytically inert nature of graphene and the insulating nature of the deionized (DI) water enables potentials as low as = -7 V vs Ag/AgCl to be applied without exceeding 200 μA/cm of current density. At higher currents, bubble formation (i.

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We have used surface plasmon resonant metal gratings to induce and probe the dielectric response (i.e., electro-optic modulation) of ionic liquids (ILs) at electrode interfaces.

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The development of novel nanosheet-based drug delivery systems requires a systematic understanding of the interactions between the drug and the nanosheet carrier under various physiological environments. In this work, we investigated electronic and quantum molecular descriptors of a SiC monolayer adsorbed with the anticancer drugs nitrosourea (NU) and carmustine (BCNU) using density functional theory (DFT). Our calculations revealed negative adsorption energies for both drugs, indicating a spontaneous and energetically favorable adsorption process.

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We report the electrochemical potential dependence of photocatalysis produced by hot electrons in plasmon-resonant grating structures. Here, corrugated metal surfaces with a period of 520 nm are illuminated with 785 nm wavelength laser light swept as a function of incident angle. At incident angles corresponding to plasmon-resonant excitation, we observe sharp peaks in the electrochemical photocurrent and dips in the photoreflectance consistent with the conditions under which there is wavevector matching between the incident light and the spacing between the lines in the grating.

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Article Synopsis
  • A DFT study was conducted on the gas sensing capabilities of BeS monolayers, focusing on twelve common pollutant gases, revealing defect states near the Fermi level and strong interactions between the gas molecules and the monolayer.
  • Strong adsorption energies for NH and CO were noted, along with enhanced optical properties for CO and NO at specific wavelengths, indicating effective sensing potential.
  • The BeS monolayer showed resilience to tensile strain, while compressive strains improved gas sensing, and the application of electric fields helped control gas adsorption and desorption, positioning BeS as a promising material for future gas sensing technologies.
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The design of sensitive and selective gas sensors can be significantly simplified if materials that are intrinsically selective to target gas molecules can be identified. In recent years, monolayers consisting of group III-V elements have been identified as promising gas sensing materials. In this article, we investigate gas adsorption properties of buckled GaAs monolayer using first-principles calculations within the framework of density functional theory.

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Article Synopsis
  • COVID-19 has drastically changed the world since late 2019, leading to millions of deaths due to its highly contagious nature.
  • To combat the virus, a new diagnostic tool using a parallelly concatenated convolutional block-based capsule network has been developed for analyzing multimodal medical images.
  • This innovative model integrates various deep learning techniques to enhance feature extraction, achieving impressive results in detecting COVID-19 across multiple benchmark datasets, including chest radiographs and ultrasound images.
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