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 to prepare low reflective surface according to an example of the present invention comprises: the first step to prepare materials having pillar structure on the surface; the second step to prepare aluminum surface-materials by treating for the pillar structure to have aluminum surface; and the third step to prepare a low reflective surface with dual protuberance structure by forming nano-flake layer on the pillar surface of the material surface through oxidation of the surface aluminum of the aluminum surface-materials. The method to prepare low reflective surface can provide a low reflective surface structure that can be applied to photovoltaic device surface or various display surface as a surface able to reduce reflection significantly by absorbing wavelengths in the range of visible and infrared ray through internally total reflection with simple, low cost, and ecofriendly process.