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Although their applications have not yet extended widely due to their incipient state, nano-technologies and nano-medicines may be presumed to be at the origin of the next great technological revolution, foreseeably contributing to a new stage with respect to evolutions in mankind’s progress. Their possibilities are truly immense in enormously varied spheres, but the risks and uncertainties they engender are enormous too. Because access and use of the unceasingly increasing mega-quantity of information they generate will place further strain on the protection of personal life, privacy, the exercise of freedom, as well as the safeguarding of other fundamental principles and rights.
We present the application of an evolutionary genetic algorithm for the in situ optimization of nanostructures that are prepared by focused electron-beam-induced deposition (FEBID). It allows us to tune the properties of the deposits towards the highest conductivity by using the time gradient of the measured in situ rate of change of conductance as the fitness parameter for the algorithm. The effectiveness of the procedure is presented for the precursor W(CO)6 as well as for post-treatment of Pt–C deposits, which were obtained by the dissociation of MeCpPt(Me)3. For W(CO)6-based structures an increase of conductivity by one order of magnitude can be achieved, whereas the effect for MeCpPt(Me)3 is largely suppressed. The presented technique can be applied to all beam-induced deposition processes and has great potential for a further optimization or tuning of parameters for nanostructures that are prepared by FEBID or related techniques.