High-Throughput In-Device Screening of Printable Lead-Free Halide Perovskite Memristors via Machine Learning-Driven Optimization

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: HTE, Perovskite, Memristors, Machine Learning
TL;DR: High-throughput printable fabrication + ML screening of lead-free halide perovskites directly in-device, revealing key compositional descriptors for rational memristor design.
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: 366
Loading