A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...
A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...
In this interview, Dr. Steve Ward-Smith explores the analytical challenges and opportunities shaping the development of nasal spray therapeutics.
Plastic pollution is everywhere—including where you would least expect it, especially when it's in tiny particle form. Today, ...
Particle size spectra, describing particle abundance as a function of size, are essential for understanding marine ecosystem structure and biogeochemical processes. The slopes of size spectra provide ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Characterizing the crystallization kinetics is essential for robust process design and ...
Understanding both particle size and shape is essential in R&D and manufacturing across many industries, as these parameters can influence how materials flow, pack, dissolve and interact with their ...
Throughout their useful life structures demand monitoring to verify their conditions of use. Thus, the need arises to seek methodologies capable to evaluate ...
Fine particles play a crucial role in defining the properties of both natural and synthetic materials, significantly influencing processes such as adsorption, dissolution, and reaction rates. In many ...
Particle size has long been a key method for characterization. Most particle size measurement techniques are indirect and assume that all measured particles are round when providing size results.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results