Work

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

Year: 2026

Type: article

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

Source: Journal of Materials Chemistry C

DOI: 10.1039/d5tc03660g

Authors: Benius Dunn, Javier Meza-Arroyo, Armi Tiihonen, Mark Lee, Julia W. P. Hsu

Institutions: The University of Texas at Dallas, Aalto University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, University of Texas at Dallas, Air Force Office of Scientific Research

Awards: BRITE Pivot: Machine Learning Accelerated Optimization of Flash Lamp Processed Thin-films for Flexible Optoelectronic Applications, G7271116267

OpenAlex ID: W4415272452

FWCI:

Cites: 23

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