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

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

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Publication Details

Journal
Journal of Materials Chemistry C
Published
2026-01-01
DOI
https://doi.org/10.1039/d5tc03660g
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

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

B.M. Dunn, Armi Tiihonen, J. Meza-Arroyo, Julia W.P. Hsu et al.
Journal of Materials Chemistry C
Advanced Memory and Neural Computing
article

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

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

Abstract

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

Journal of Materials Chemistry CVol. 14(6)
The University of Texas at Dallas (US), Aalto University (FI)
Openalex Percentile: Top 95%
Advanced Memory and Neural Computing
DOISourceOpenAlex
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