Home / Journals American Journal of Physical Chemistry / Evolutionary Optimization and Design of Nanomaterials
Evolutionary Optimization and Design of Nanomaterials
Submission Deadline: Jul. 30, 2015
Lead Guest Editor
Prof. Pavel Osmera
Guest Editor
  • Radomil Matousek
    Department of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=128). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.
This approach combines knowledge of evolutionary optimization with physical chemistry. The novelty comes from new, high-risk ideas which describe in a new way (quantum fractals) the structure of atoms and molecules. It is known that the planetary model of hydrogen atom is not correct. The classical quantum model is too abstract. Our imagination, based on our preliminary results, is that the hydrogen is a levitation system of the proton and the electron. That means that we will prove if the new idea of atom structure can produce molecules with the same characteristics which have real material. Next we try to design methods and algorithms, which should be able to design new molecules and nano-structures with predefined characteristics. The methods will be based on evolutionary computation, which are powerful means to solve complex optimisation/design problems. (http://www.pavelosmera.cz)
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