Using a Genetic Algorithm to Find the Perfect Catalyst Molecule
Recently, a team of researchers at the University of Michigan have developed a new genetic algorithm to uncover the most efficient catalyst molecules. This new algorithm uses an evolutionary process to improve the synthesis of a catalyst molecule, ultimately leading to the discovery of a more efficient catalyst.
The breakthrough could lead to the development of more efficient catalysts for a variety of chemical processes, such as in the production of pharmaceuticals, the creation of new materials, and the production of more efficient fuels. This breakthrough could ultimately help us to reduce our reliance on fossil fuels and create more efficient and sustainable energy sources.
source: Phys.org