The invention relates to an
artificial intelligence generation method and
system for a ferroelectric material component-temperature
phase diagram, and the method comprises the steps: obtaining a
chemical formula of a ferroelectric material with a
doping variable, and setting the
chemical formula in a character string form; setting a
doping proportion, a temperature change range and a step length; chemical elements and
doping proportions in the
chemical formula of the ferroelectric material with the doping variable in the character string form are processed, and a chemical formula numerical vector
list is obtained; forming a temperature
list according to the set temperature change range and step length, and performing normalization
processing to obtain a normalized temperature
list; based on the chemical formula numerical vector list and the normalized temperature list, merging, inputting into a pre-trained
crystal phase transformation
artificial intelligence model, and outputting a
crystal structure type; based on the type of the
crystal structure, drawing a component-temperature
phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions; compared with the prior art, the method has the advantages of automatically generating the component-temperature
phase diagram and the like.