CPC G06F 30/398 (2020.01) [G06F 30/20 (2020.01); G06N 20/00 (2019.01); G06F 2111/04 (2020.01)] | 20 Claims |
1. A computer-implemented method comprising:
training a machine learning model using a plurality of electrical parameters associated with a plurality of electrical cells;
receiving, by the trained machine learning model, data comprising cell layout design constraints;
determining, by the trained machine learning model, a cell layout for the received data based on the plurality of electrical parameters by:
positioning at least two electrical cells of the plurality of electrical cells within the cell layout; and
generating at least two transition cells surrounding the at least two electrical cells, each transition cell surrounding an electrical cell; and
providing the cell layout for further characterization of electrical performance within the cell layout design constraints.
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