Only by maintaining the optimum amount of gas density within their chambers can the functional dependability and reliability of high-voltage industrial equipment be guaranteed.
By Ibtisam Abbasi
5 Aug 2022
Inductively Coupled Plasma Mass Spectrometry (ICP-MS) is one of the most powerful and sensitive analytical tools for determining trace and ultra-trace metals in a wide array of complex chemical and biological matrixes.
By Franklin Nwuga
3 Aug 2022
Auger Electron Spectroscopy (AES) is a popular analytical technique utilized extensively in materials science and microelectronics, especially in the semiconductor industry.
By Ibtisam Abbasi
2 Aug 2022
Conductive and photoconductive atomic force microscopy are variations of atomic force microscopy (AFM). Conductive AFM simply measures the electrical conductivity of materials while photoconductive AFM measures the conductivity of materials when exposed to light.
By Blaise Manga Enuh
28 Jul 2022
For specific applications, heat treatment methodologies are used to modify magnesium alloy properties to obtain a desirable combination that improves performance.
By Blaise Manga Enuh
26 Jul 2022
Chiral compounds have a ubiquitous existence in nature, and chirality has a vital role in biological processes, chiral drugs, and chiroptical materials.
By Bhavna Kaveti
22 Jul 2022
This article discusses the effect of introducing nano-silica on the thermo-mechanical properties of jute/thermoplastic composites.
By Samudrapom Dam
19 Jul 2022
The high sensitivity of the reflection electron microscopy (REM) technique to small changes in the crystal structure and composition of the top surface layers of various crystalline materials makes it the method of choice when studying surface structures and dynamic surface processes.
By Cvetelin Vasilev
18 Jul 2022
An energy partnership in Finland recently installed the first fully operational “sand battery” in the world. The innovative technology can store green power for months on end, and its developers say it may solve the problem renewable energy has with power sources that are only available seasonally.
By Ben Pilkington
14 Jul 2022
Two studies published in 2022 demonstrate machine learning techniques employed to reduce uncertainty in atomic force microscopy (AFM). Making AFM more accurate with artificial intelligence (AI) could make the technology more accessible around the world.
By Ben Pilkington
13 Jul 2022