Overlaying on locally dispositioned patterns by ml based dynamic digital corrections (ml-ddc)

Abstract

Systems and methods disclosed are generally related to masklessly developing connections between a chip-group and a design connection point on a substrate. In placement of the chip-group on the substrate, according to certain embodiments the chip-group may be dispositioned relative to an expected position per a substrate layout design, causing a connection misalignment with the design connection point. According to certain embodiments, a machine learning (ML) model is trained on historical and simulated pixel models of chip-group connections and design connection points. Upon determining the chip-group misalignment by a metrology measurement, the trained ML model determines a pixel model to connect the misaligned chip-group, and causes the pixel model to be exposed to a substrate with a digital lithography tool, thereby connecting the dispositioned chip-group to the design connection point.