arXiv Machine Learning June 16, 2026 By Emre Ecik, Werner John, Julian With\"oft, Ralf Br\"uning, J\"urgen G\"otze

Surrogate-Assisted Framework for SI-Compliant Interconnect Design Optimization Using the Earth Mover's Distance

Read the original on arXiv Machine Learning →

arXiv:2606. 15234v1 Announce Type: cross Abstract: This work presents a deterministic, machine-assisted framework for SI-compliant PCB design based on the Earth Mover's Distance (EMD).

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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