Multi-objective Bayesian optimization with human-in-the-loop for flexible neuromorphic electronics fabrication

Journal of Materials Chemistry C 2026

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Authors: B.M. Dunn, J. Meza-Arroyo, Armi Tiihonen, Mark Lee, Julia W.P. Hsu

DOI: 10.1039/d5tc03660g

Cited by: 0

References: 23

Abstract

A fusion of researcher observation and machine learning is used to fabricate tunable dielectric on PET by photonic curing for neuromorphic devices.

Advanced Memory and Neural Computing Ferroelectric and Negative Capacitance Devices Neural Networks and Reservoir Computing

References 23