Technology

Iodine Catalyzed Dioxygen Activation In Oxosulfonylation Reaction

With increasing people’s interest in renewable energy and global warming, it is important to minimize the use of harmful or toxic chemicals in the processes of chemical synthesis. Also, trimming down chemical waste and developing recyclable approaches might be helpful to do the reactions in greener fashions. In this regard, dioxygen activation is one of

How Does Soap Work?

How soap works is due to its unique chemistry, the hydrophilic (loves water) and hydrophobic (hates water) parts of soap act to combine soapy water with grease, dirt, or oil. This combination creates clusters of soap, water, and grime called micelles. Soap is a product that most of us use every day, yet most of

Developing Long-lived Room-temperature Phosphorescence Under Optical And Electrical Excitation

Long persistent phosphors are widely commercialized as glow-in-the-dark paints for watch indicators and emergency signs. Although present glow-in-the-dark materials are made using inorganic materials, some organic molecules are also known to show long-lived emission called phosphorescence. Organic long-lived phosphorescent materials have advantages in areas such as solubility, color tunability, processability, and biocompatibility. Phosphorescence, which is

Developing The Next Generation High-Performance Lithium-Sulfur Batteries

With the fast development and wide application of portable electronic devices and green electric vehicles, the demands of a high energy-storage system are increasing gradually. Among various chemical energy-storage technology, lithium-sulfur (Li-S) batteries have been one of the most promising next-generation candidates, owing to many conspicuous merits including high theoretical capacity (1675 mAh g-1), inexpensive

Gold-Catalyzed Synthesis And Reaction Pathways

Transition metal-catalyzed addition of an amine across a C-C triple bond (hydroamination reaction) represents a powerful tool for the construction of a wide range of nitrogen heterocycles.  Intramolecular hydroaminations of 2-alkynylaniline derivatives (Compound 1) to give interesting indole heterocycles (Compound 2) have been widely investigated. Over the past decades Au, Pd, Ir, Cu, Ag and

Ultrasmall Nanoplatelets: The Ultimate Tuning Of Optoelectronic Properties

 Semiconductor nanocrystals with unique optoelectronic properties have emerged as promising materials for applications in solar technologies, including solar cells, solar-driven hydrogen production, and luminescent solar concentrators. Among them, ultrathin two-dimensional (2D) semiconducting nanoplatelets (NPLs) are sheet-like structures with single- or few-layer thickness (typically less than 5 nm), with lateral size ranging from 100 nm to

Collective Neurodynamic Optimization Technology For Distributed Big Data Processing

With the development of artificial intelligence, especially in big data, machine learning and related areas, the size and complexity of modern datasets are increasing explosively. To solve these problems with a large-scale dataset, the distributed/decentralized computing frame has been proposed and well established. There are mainly two considerations for the distributed computing: The first one is

Dimensional Engineering: Another Approach To Resolving The Stability Issue Of High-efficiency Perovskite Solar Cells

Perovskite solar cell has shown rapid development in the past few years, and its features of low cost and high efficiency make it promising to at least partially replace silicon solar cell for energy harvesting in both industry and daily life. However, despite the high expectation for such an excellent energy material, the stability issues

Scientists Are Using Machine Learning To Better Predict Epilepsy

There are 2 aspects of this research that are worth highlighting: (1) we showed that micro-structural extra-hippocampal abnormalities are consistent enough across medial temporal lobe epilepsy (TLE) patients that they can be used to predict TLE, and (2) we obtained regularization values for the models trained on this sparse data in an unusual but effective