Method and electronic apparatus for predicting electronic structure of material

An electronic apparatus for predicting an electronic structure of a material, the electronic apparatus comprising:

• a user input interface configured to receive a user's input data about elements constituting the material;
• a processor configured to apply the received user's input data to a trained model for estimating a state density of the material;
• and
• an output interface configured to output a first graph representing energy level-by-level state densities of the material output from the trained model,
• wherein the trained model is trained to generate the first graph based on a plurality of second graphs representing pre-calculated energy level-by-level state densities respectively corresponding to a plurality of pre-input data about elements of various materials and the plurality of pre-input data by converting the plurality of second graphs into recognition data,
• wherein the trained model is trained to:
• convert the plurality of second graphs into a plurality of lattice images, respectively,
• convert the plurality of lattice images into a plurality of matrixes, respectively,
• calculate a covariance of the plurality of matrixes,
• calculate at least one eigenvector and at least one eigenvalue based on the calculated covariance,
• determine at least one principal component representing a characteristic of the first graph based on the at least one eigenvector and the at least one eigenvalue and
• generate the first graph based on the at least one principal component.