Automated High Throughput Optimization for Halide Perovskite Memristors

Published: 25 Mar 2026, Last Modified: 22 Apr 2026AI4X-AC 2026 OralEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: Self-Driving Labs, High-Throughput Experiments, Data Driven materials Science, Memristors, Neuromorphic Computing, Laboratory Automation, 2D Perovskites
TL;DR: This work combines automated high-throughput experimentation with Bayesian optimization to optimize 2D perovskite memristors for neuromorphic computing.
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: 113
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