Chemo-enzymatic cascade processes are invaluable due to their ability to rapidly construct high-value products from available feedstock chemicals in a one-pot relay manner. In an article, author is Gomes, Gabriel dos Passos, once mentioned the application of 80875-98-5, Name is H-Oic-OH, molecular formula is C9H15NO2, molecular weight is 169.22, MDL number is MFCD07782125, category is catalyst-ligand. Now introduce a scientific discovery about this category, Recommanded Product: 80875-98-5.
Navigating through the Maze of Homogeneous Catalyst Design with Machine Learning
The ability to forge difficult chemical bonds through catalysis has transformed society on all fronts, from feeding the ever-growing population to increasing life expectancies through the synthesis of new drugs. However, developing new chemical reactions and catalytic systems is a tedious task that requires tremendous discovery and optimization efforts. Over the past decade, advances in machine learning (ML) have revolutionized a whole new way to approach data intensive problems, and many of these developments have started to enter chemistry. Meanwhile, similar advances in the field of homogeneous catalysis are in only their infancy. In this perspective, we outline our vision for the future of homogeneous catalyst design and the role of ML in navigating this maze.
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Reference:
Metal catalyst and ligand design,
,Ligand Template Strategies for Catalyst Encapsulation – NCBI