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Abstract

A property prediction system for a semiconductor element is provided. The property prediction system includes a memory unit, an input unit, a processing unit, and an arithmetic unit. The processing unit has a function of creating a learning data set from first data stored in the memory unit, a function of creating prediction data from second data supplied from the input unit, a function of converting qualitative data (a material name or a compositional formula) into quantitative data (the properties of an element and a composition), and a function of performing extraction or removal on the first data and the second data. The first data includes step lists of first to m-th semiconductor elements (m is an integer of 2 or more) and the properties of the first to m-th semiconductor elements. The second data includes a step list of an (m+1)-th semiconductor element. The arithmetic unit having a function of performing learning and inference of supervised learning performs learning on the basis of the learning data set and makes an inference of a semiconductor element from the prediction data.

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First Claim