Chemical data as stochastic processes

It is well known that the chemical compounds constructed from 4 elements C,H,N,O account for approximately 95 percent of all new substances found every year, hence investigating this data can answer partly a question on how one can learn and predict the evolution of the chemical data. Following the languages of stochastic processes and dynamical systems, we explain the phenomena that the log-volatility of the new substances has the tendency to reduce over time and that the process has long-range dependence. As it turns out, the chemical space is very well structured in topological shape which indicates the influence of certain rules and methods in creating new chemical substances.