Abstract: A method, performed by an electronic device, of predicting an electronic structure of a material includes: receiving input data of a user related to elements constituting the first material; applying the received input data to a trained model for estimating a density of state of the first material; and outputting a first graph indicating the density of state for each energy level of the first material output from the trained model, wherein the trained model is trained to generate the first graph based on pre-input data about a plurality of second materials composed of at least some of the elements constituting the first material and a plurality of second graphs representing the density of state for each energy level of the plurality of second materials.

Abstract: A method of predicting an electronic structure of a material by an electronic apparatus includes receiving user's input data about elements constituting the material; applying the received user's input data to a trained model for estimating a state density of the material; and outputting 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.

Abstract: A catalyst and a catalyst composition, a method for preparing thereof, and a method for synthesizing of hydrogen peroxide using them are provided. The catalyst and the catalyst composition contains: an alloy of two elements, wherein the elements are Pt (Platinum) and Ni (Nickel). The present disclosure enables (a) replacing a high-priced palladium (Pd) catalyst with a new catalyst, (b) providing a high-active catalyst which catalyzes the direct synthesis reaction of the hydrogen peroxide.

Abstract: A method, performed by an electronic device, of predicting an electronic structure of a material includes: receiving input data of a user related to elements constituting the first material; applying the received input data to a trained model for estimating a density of state of the first material; and outputting a first graph indicating the density of state for each energy level of the first material output from the trained model, wherein the trained model is trained to generate the first graph based on pre-input data about a plurality of second materials composed of at least some of the elements constituting the first material and a plurality of second graphs representing the density of state for each energy level of the plurality of second materials.

Abstract: A catalyst and a catalyst composition, a method for preparing thereof, and a method for synthesizing of hydrogen peroxide using them are provided. The catalyst and the catalyst composition contains: an alloy of two elements, wherein the elements are Pt (Platinum) and Ni (Nickel). The present disclosure enables (a) replacing a high-priced palladium (Pd) catalyst with a new catalyst, (b) providing a high-active catalyst which catalyzes the direct synthesis reaction of the hydrogen peroxide.

Abstract: A method of predicting an electronic structure of a material by an electronic apparatus includes receiving user's input data about elements constituting the material; applying the received user's input data to a trained model for estimating a state density of the material; and outputting 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.