Production of ethylene is one of the most important chemical processes used today, with about 300 million metric tons of the tiny chemical produced each year. Ethylene gas is used to create everyday items like shopping bags ...
The diffraction of light is a ubiquitous phenomenon in nature where waves spread out as they propagate. This spreading of light beams during propagation limits the efficient transmission of energy and information. Therefore, ...
A new study has shown pollen grains can be used as green templates for producing biomaterials, showcasing their potential to support drug delivery and bone regeneration.
Platinum (Pt) electrodes are crucial for clean power technologies like hydrogen fuel cells and electrolysis. However, the surface oxidation that occurs during such processes degrades catalyst performance and stability.
Researchers at the University of Bayreuth have made a significant scientific breakthrough by identifying new yttrium-hydrogen compounds, a discovery that has serious implications for research on high-pressure superconductivity. ...
A team of researchers from Bohai University in China has designed and synthesized a bifunctional catalyst that can solve the environmental pollution caused by mustard gas and phenolic compounds. They synthesized this bifunctional ...
A research team has successfully synthesized a metal nanocluster and determined its crystal structure. Their study provides experimental evidence for understanding and designing nanoclusters with specific properties at the ...
Understanding the molecular mechanisms underlying the phenomenon of photosynthesis can enable significant progress in the fields of biotechnology and renewable energy. Photosystem II (PSII), a protein complex, plays a central ...
New research, conducted at the Department of Energy's SLAC National Accelerator Laboratory, illuminates the strange behavior of gold when zapped with high-energy laser pulses.
Cornell quantum researchers have detected an elusive phase of matter, called the Bragg glass phase, using large volumes of X-ray data and a new machine learning data analysis tool. The discovery settles a long-standing question ...
