Artificial Super Intelligence

I have been used wiki for my idea documentation. It is powerful and convenient to write a thought because it offers an highly easy hyper-linking function among the related items. After I have been using it, I eventually realize there are not only advantages but also disadvantages because of its convenience. In particular, it have been bad to improve my long text writing capability, especially writing not in the wiki supported systems or cases. Since Wiki is a new documentation system, there are still many other type documentation systems including technical and research paper publishing systems. It can be explained without considering convenient hyper linking functions. It is usually divided to several parts, which includes introduction, main, conclusion. In the wiki based system, the introduction and the conclusion parts are described shortly since readers are coming to new wiki article from the previous article, where the sufficient information is provided. 

The kinetic Monte Carlo (kMC) algorithm with first reaction method (FRM) can be appiled for the charge transport simulation of the organic photovoltaic cells. kMC can be used for all three parts which are modelings for morphology generation, exciton dissociation and charge injection/extraction. 1. Morpology Modeling  For morphology modeling, the Ising Hamiltonian method can be used. First, random morphology is generated by applying random position p and n materials. If the size of sites is L * L * L, around halft sites ~ L * L * L /2 are set to p materials such as +1 for each element of the L * L * L morphology matrix while the other half sites are set to n materials such as -1, Note that the total number of p-material and n-materials sites must be equal to the total number of sites, which is L * L * L. That is, any site is belonging to either p or n-material. 2. Exciton Dissociation Modeling Exciton dissociation can also be modeled by kMC algorithm with the first reaction met