Data-Driven Property Prediction for Memristor Resistive Switching Layers

Ben D. Rowlinson, Subramanian Ramamoorthy, Jacqueline M. Cole, Themis Prodromakis

Published: 15 Mar 2026, Last Modified: 09 May 2026AI4X-AC 2026 OralEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: AI for Materials, AI for Unconventional Computing, Experimental Properties, Memristor
TL;DR: We benchmark data-driven ML models for materials in memristors against an experimental ground truth auto-extracted from the literature corpus.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
Submission Number: 227