Materials Literature
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Spectroscopic studies of semiconductor quantum dots (SQDs) addressing the\nproblem of non-radiative carrier losses is vital for the improvement in the\nefficiency of various light-emitting devices. Various designs of SQDs emitter\nlike doping, forming core-shell and alloying has been attempted to suppress\nnon-radiati…
Abstract Cryo-correlative light and electron microscopy (CLEM) is a technique that uses the spatiotemporal cues from fluorescence light microscopy (FLM) to investigate the high-resolution ultrastructure of biological samples by cryo-electron microscopy (cryo-EM). Cryo-CLEM provides advantages for identifying and disti…
Cellulose is the most abundant material on Earth; it is the main constituent of plants, serving to maintain their structure, and it is also found in bacteria, fungi, algae, and even in animals. It is a natural polymer formed by β-D-glucopyranose linked by (1 → 4) glucosidic bonds [ 1 , 2 ]. The monomelic unit is forme…
Arbitrary manipulation of broadband terahertz waves with flexible polarization shaping at the source has great potential in expanding real applications such as imaging, information encryption, and all-optically coherent control of terahertz nonlinear phenomena. Topological insulators featuring unique spin-momentum loc…
Supercritical carbon dioxide (sCO2) is currently being studied as the working fluid in power producing Brayton cycles due to its excellent physical and thermodynamic properties, especially near the critical point. Printed circuit heat exchangers (PCHEs) are being considered for use as condensers and recuperators for t…
One of the unique features of graphene is that the Fermi wavelength of its charge carriers can be tuned electrostatically over a wide range. This allows in principle to tune the transparency of a pn-junction electrostatically, as this depends on the ratio between the physical extension of the junction and the electron…
Anticorrosion property of Al-5mass%Mg sprayed coating was evaluated by an atmospheric exposure test simulating marine environment for one-year. The test simulating marine environment means an accelerated exposure test where artificial seawater is sprayed on the coating surface in a general atmospheric exposure test. W…
Abstract As a new-era of energy harvesting technology, triboelectric nanogenerator (TENG) has been invented to convert randomly distributed mechanical energy into electric power for Internet of Things (IoTs) and artificial intelligence (AI) applications. Enhancement of the triboelectric charge density is crucial for i…
Molecular dynamics (MD) simulations are a popular method of studying protein structure and function, but are unable to reliably sample all relevant conformational space in reasonable computational timescales. A range of enhanced sampling methods are available that can improve conformational sampling, but these do not…
Knowledge about the formation energies of compounds is essential to derive phase diagrams of multi-component phases with respect to elemental reservoirs. The determination of formation energies using common (semi-)local exchange-correlation approximations of density functional theory (DFT) exhibits well-known systemat…
Molecular periodic systems have the challenge of not only representing an infinite, albeit periodically repeating, molecule but also treating the strong electron correlation that emerges in such systems. Many post-Hartree-Fock methods that are efficient in moderately correlated molecules often fail to describe strongl…
Evaluating detergency for the purposes of improving the design of washing machines considers, in addition of soil removal efficacy, other factors, such as water consumption and energy input. Textiles or fabric samples used for detergency evaluation are soiled with natural soils deposited in actual use of the textile o…
We study a class of topological materials which in their momentum-space band structure exhibit three-fold degeneracies known as triple points. Specifically, we investigate and classify triple points occurring along high-symmetry lines of $\mathcal{P}\mathcal{T}$-symmetric crystalline solids with negligible spin-orbit…
Abstract Diatoms are single-celled microalgae that produce silica-based cell walls with intricate nano- and micropatterns. Biogenesis of diatom biosilica is a bottom-up process that occurs in large intracellular compartments termed silica deposition vesicles (SDVs). Investigating the mechanism of silica morphogenesis…
Abstract Introduction Qualitative fit testing is a popular method of ensuring the fit of sealing face masks such as N95 and FFP3 masks. Increased demand due to the COVID-19 pandemic has led to shortages in testing equipment and has forced many institutions to abandon fit testing. Three key materials are required for q…
Hemoconcentration membranes used in cardiopulmonary bypass require a pore structure design with high pure water permeability, and which does not allow protein adsorption and useful protein loss. However, studies on hemoconcentration membranes have not been conducted yet. The purpose of this study was to analyze three-…
ADVERTISEMENT RETURN TO ISSUEPREVFirst ReactionsNEXTHybrid Fluorescent Probes for Imaging Membrane Tension Inside Living CellsExploiting a hybrid synthetic−genetic approach, a novel fluorescent probe enables highly specific imaging of intracellular membrane tension changes.Claire DeoClaire DeoCell Biology and Biophys…
Abstract In de novo molecular design, recurrent neural networks (RNN) have been shown to be effective methods for sampling and generating novel chemical structures. Using a technique called reinforcement learning (RL), an RNN can be tuned to target a particular section of chemical space with optimized desirable proper…
Predicting copper price is essential for making decisions that can affect companies and governments dependent on the copper mining industry. Copper prices follow a time series that is non-linear, non-stationary, and which have periods that change as a result of potential growth, cyclical fluctuation and errors. Someti…
Abstract Motivation Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as non-interpretable black-box models. Layer-wise Relevance Prop…