A Provenance-First, AI-Ready Data Platform for Large-Scale Memristor Experiments

Published: 25 Mar 2026, Last Modified: 12 May 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: memristor, RRAM, provenance, database, dataset, software, benchmark, reproducibility, autonomous experimentation
TL;DR: STARS is a provenance-first, AI-ready database for memristor experiments, linking process/location context, measurements, and derived features with end-to-end quality control for reproducible datasets and AI workflows.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 286
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