To better understand how carbon nanomaterials could be tailor-made and how their formation impacts shock phenomena such as detonation, scientists conducted machine-learning-driven atomistic simulations to provide insight into the fundamental processes controlling the formation of nanocarbon materials, which could serve as a design tool, help guide experimental efforts and enable more accurate energetic materials modeling.
Researchers found that substituting a few phosphorous atoms with arsenic stabilizes a 2D structure in black phosphorous. This structure results in improved thermoelectric power compared to pure black phosphorous.
New supramolecular materials can be used in energy production and medical devices. Scientists aim to identify the best supramolecular materials for use with the help of machine learning.
A new research project could make it easier to fabricate and control synthetic DNA-based nanostructures - potential applications include better medical diagnosis, plasmonic displays, and more.
To achieve simultaneous atmospheric passivation, and selective gas sensing in graphene, researchers developed a nano-porous activated-carbon functionalized graphene channel.
The key to fabricate single-atom catalysts is the confinement of transition metal atoms in the precursor, which remains a critical challenge. Addressing this critical challenge, researchers recently proposed clicking confinement strategy as a new synthesis methodology towards the fabrication of single-atom catalysts. This strategy breaks the restrictions on molecular size or symmetry and significantly broadens the fabrication approaches. It also is of great specificity, ensuring the ...
Researchers have developed a new method to display highly realistic holographic images using 'holobricks' that can be stacked together to generate large-scale holograms.
Scientists have constructed a database of electronic structure parameters correlated with materials' thermoelectric conversion properties and by a comprehensive analysis of the database.
Entropy is the measure of the disorder in a system that occurs over a period of time with no energy put into restoring the order. Zentropy integrates entropy at multiscale levels.
