Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization

arXiv:2605.18170 · eess.SP, cs.CE, cs.LG · Submitted 2026-05-18 · Read on arXiv

eess.SP, cs.CE, cs.LG

Submitted: 2026-05-18

Updated: 2026-10-16

Comments: 12 pages, 16 figures, 7 tables. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Surrogate Model — 3× in this paper · explained in 3 episodes
• Surrogate Models — 3× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Machine Learning (ML) — 1× in this paper · explained in 2 episodes
• Surrogate Modeling — 1× in this paper · explained in 2 episodes

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