Algorithm Decides On Chemical Compromises When Optimizing Self-Driving Experiments

Chimera Algorithm that enables multi-target optimization for experimentation or expensive computations. After testing both Chimera and c-ASF Algorithm on an auto-calibration procedure in a virtual self-driving laboratory it was found that Chimera works more quickly as compare to c-ASF and in future it will be used in more complex systems in various areas of chemistry and beyond. READ MORE ON: Chemistry World