Modern and emerging applications in various fields have found creative uses for organic thin films (TFs); some prominent examples include sensors, photovoltaic systems, transistors, and optoelectronics. However, the methods ...
In order for metal nanomaterials to deliver on their promise to energy and electronics, they need to shape up—literally.
Tomorrow's cutting-edge technology will need electronics that can tolerate extreme conditions. That's why a group of researchers led by Michigan State University's Jason Nicholas is building stronger circuits today.
Copper remains one of the single most ubiquitous metals in everyday life. As a conductor of heat and electricity, it is utilized in wires, roofing and plumbing, as well as a catalyst for petrochemical plants, solar and electrical ...
While attention has been focused on the Perseverance rover that landed on Mars last month, its predecessor Curiosity continues to explore the base of Mount Sharp on the red planet and is still making discoveries. Research ...
Two-dimensional (2D) materials and van der Waals (vdW) heterostructures are flexible materials with distinct atomic layers beyond traditional units of lattice-matching requirements. Nevertheless, the 2D van der Waals structures ...
The directly catalytic oxidation of alkanes has high atomic economy and application value to form corresponding chemical organic products such as alcohols, aldehydes, ketones and carboxylic acid. It is challenging to achieve ...
Materials such as gallium arsenide are extremely important for the production of electronic devices. As supplies of it are limited, or they can present health and environmental hazards, specialists are looking for alternative ...
An international research team, led by Monash University, has discovered for the first time the mystery behind the formation of 'coffee rings' by examining the contact angle of droplets onto a surface, and how they dry.
Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, ...
