The invention relates to the technical field of superconductors, in particular to a Tc > 140K superconductor reverse design method and
system based on gradient guidance, and the method comprises the steps: obtaining superconductive data, constructing a superconductive
data set, obtaining a preliminary
data set, carrying out the data cleaning, obtaining a cleaned
data set, constructing a superconductive representation matrix, carrying out the training to obtain a training generation model and a training
diffusion model, and carrying out the mapping. Performing random disturbance addition for multiple times to obtain a disturbance addition vector, calculating disturbance
gradient estimation, updating the low-dimensional potential vector, obtaining an updated potential vector, obtaining a reconstruction sample, performing optimization to obtain a reconstruction optimization sample, performing critical temperature prediction, obtaining a reconstruction temperature and an updated temperature, and calculating a temperature
absolute difference value; and obtaining an update temperature sequence, extracting an initial update temperature, determining a target update temperature, and determining a target temperature in the update temperature sequence. According to the method, the design and discovery of the high-critical-temperature
superconducting material can be accelerated.