Design of optimally switchable molecules by genetic algorithms

We demonstrate the possibility to design molecules for specific tasks, using a fully automatic global optimization setup employing genetic algorithms. As an example, we tune the two excitation wavelengths of a molecular switch backbone to arbitrarily pre-set values, by an automatic optimization of the substituent pattern.