**4. Conclusions**

In this work, a Neural Network aided inverse design method is demonstrated for agile dispersion engineering of a horizontal double slot waveguide structure. The proposed objective-motivated, automation-supported inverse design method provides rapid optimization with high performance. Broadband low dispersion, constant dispersion and slope maintained linear dispersion were achieved for As2S3 and Si3N4 waveguides. These wellperformed studies achieved results of versatile dispersion profiles that would be highly useful for broad applications. We believe this can be extended to very broad photonic devices to obtain ultimate performance far beyond dispersion. Significant potential can be expected for photonic design automation of integrated circuit.

**Author Contributions:** Data curation, Z.W. and J.L.; formal analysis, J.L.; methodology, Z.W., J.D. and W.S.; writing—original draft, Z.W. and W.S.; writing—review and editing, J.D. and Z.H. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work is supported by National Key R&D Program of China (2018YFB1801804), National Natural Science Foundation of China (NSFC) (61935011, 61875124, 61675128).

**Institutional Review Board Statement:** Not applicable.

**Informed Consent Statement:** Not applicable.

**Data Availability Statement:** Not applicable.

**Acknowledgments:** Due to all the reviewers and editors for their careful work and pertinent suggestions.

**Conflicts of Interest:** The authors declare no conflict of interest.
