| Machine learning has brought unprecedented change to not only our society, but also to how we approach science and technology. In this talk, Dr. Lee presents his research results on applying machine learning techniques to IKST’s research activities.
With respect to computational science, the primary area of focus at IKST, prior to conducting research, it is possible to use machine learning techniques to perform a literary investigation and prepare a summary of the research plan, thereby narrowing down the area to be studied. For example, if we sought to design a new solar cell material which is composed of 5 or 6 elements, an astronomical number of potential combinations within that material's phase space would generally need to be studied first. However, by using first-principles calculation and machine learning techniques, it is possible to quantitatively predict new materials by reducing the research resources and time needed to screen them. As such, machine learning techniques can play a vital role in reducing the number of materials combinations.
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