Fig. 1: Deep learning enabled generalized inverse synthesis of high-frequency circuits. | Nature Communications

Fig. 1: Deep learning enabled generalized inverse synthesis of high-frequency circuits.

From: Deep-learning enabled generalized inverse design of multi-port radio-frequency and sub-terahertz passives and integrated circuits

Fig. 1

a The proposed approach for chip synthesis with inverse-designed arbitrary-shaped multi-port radiative and non-radiative structures co-designed with circuits. b Inverse-designed integrated multi-port millimeter-wave passive structures and end-to-end mm-Wave amplifier circuit chip with co-design between multi-port passive and active circuitry. The chips are fabricated in industry standard 90-nm BiCMOS foundry. c Inverse synthesis of arbitrary multi-port electromagnetic structures with desired scattering and radiating properties, enabled through a deep-learning based forward electromagnetic emulator. The latter takes the image of the structure and predicts accurately its multi-port scattering and radiating properties across frequencies in the space of arbitrary-shaped planar structures.

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