2results about How to "Simplify the generation steps" patented technology

The invention discloses a generation method and device of an optical proximity correction model, a correction method, a medium and equipment. The generation method comprises the following steps: acquiring sample light source information, preset pattern parameters corresponding to a plurality of mask test patterns and actual measurement key sizes; and taking the sample light source information, the plurality of preset pattern parameters and the plurality of actually measured key sizes as inputs of an initial correction model, taking an estimated key size corresponding to the threshold distribution of the photoresist image as an expected output, and optimizing the initial correction model based on an expected matching degree between the estimated key size and the actually measured key size to obtain an optical proximity correction model. The preset pattern density is introduced into the preset pattern parameters, the density effect can be well captured, the critical dimension deviation trend caused by the density effect is reduced, the prediction accuracy of the optical proximity correction model is improved, additional compensation is not needed, the generation step and the correction step of the optical proximity correction model are simplified, and the prediction accuracy of the optical proximity correction model is improved. And the generation period of the model is shortened.

The application discloses a service generation method and device, electronic equipment and storage medium, and belongs to the field of network service operation. The method comprises the following steps: acquiring a target service scene corresponding to a target service, determining a networking network model corresponding to the target service scene; determining all first network resources corresponding to the networking network model; abstracting L first configuration operations for configuring all the first network resources into L first atomic capabilities; abstracting M second configuration operations for configuring all network configurations according to all the first network resources into M second atomic capabilities; determining all network characteristics required by the target service scene, and abstracting N third configuration operations for configuring all the network characteristics according to all the first network resources into N third atomic capabilities; and obtaining the target service by combining the L first atomic capabilities, the M second atomic capabilities and the N third atomic capabilities.