In the search for new particles and forces in nature, physicists are on the hunt for behaviors within atoms and molecules that are forbidden by the tried-and-true Standard Model of particle physics. Any deviations from this ...
General Physics
Nov 29, 2023
15
1857
A team of researchers have used a computational method inspired by evolution to discover an organic catalyst with better performance than known catalysts. As the team reports in the journal Angewandte Chemie International ...
Biochemistry
Mar 23, 2023
0
101
A new study has found that "diamond rain," a long-hypothesized exotic type of precipitation on ice giant planets, could be more common than previously thought.
Planetary Sciences
Sep 2, 2022
3
208
An international team of scientists have shown that glycine, the simplest amino acid and an important building block of life, can form under the harsh conditions that govern chemistry in space.
Astronomy
Nov 16, 2020
0
1554
Chemists at Scripps Research have efficiently created three families of complex, oxygen-containing molecules that are normally obtainable only from plants.
Biochemistry
Aug 13, 2020
0
179
Brown University researchers have developed a new theory to explain why stretching or compressing metal catalysts can make them perform better. The theory, described in the journal Nature Catalysis, could open new design ...
Materials Science
Apr 20, 2018
1
179
(Phys.org) —A combination of nanotechnology and a unique twisting property of light could lead to new methods for ensuring the purity and safety of pharmaceuticals.
Nanophysics
May 16, 2014
0
0
Scientists have developed a new method to make proteins form crystals using 'smart materials' that remember the shape and characteristics of the molecule. The technique, reported today in Proceedings of the National Academy ...
Materials Science
Jun 20, 2011
0
0
An innovative project to re-purpose existing drugs for their potential as antibiotics has uncovered a highly promising candidate with a potent and unique way of killing drug resistant bacteria.
Biochemistry
Jun 19, 2024
0
66
The use of AI to streamline drug discovery is exploding. Researchers are deploying machine-learning models to help them identify molecules, among billions of options, that might have the properties they are seeking to develop ...
Biochemistry
Jun 17, 2024
0
56
