Multiobjective Optimization of Silver-Nanowire Deposition for Flexible Transparent Conducting Electrodes

Journal Article · 02 October 2023 · ACS Applied Nano Materials

DOI: https://doi.org/10.1021/acsanm.3c03599 · OSTI ID:2007227

Lee, Mark  ^[1]; Piper, Robert T.  ^[1]; Bhandari, Bishal  ^[1]; Hsu, Julia W. P.  ^[1]

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1. University of Texas at Dallas, Richardson, TX (United States)

Optimizing the spin coating of silver nanowires to form transparent conducting electrodes (TCE) is guided by machine learning (ML). A good TCE has two competing characteristics: high transmittance and high conductance. Optimization using a scalar figure of merit, as often done in the field, cannot satisfy the independent requirements on transmittance and conductance imposed by specific applications. By performing a Pareto front analysis based on ML models, we show that the desired outcome of transmittance ≥ 75% and sheet resistance ≤ 15 Ω/sq is challenging but can be achieved using processing parameters identified by the ML analysis.

• Research Organization: Univ. of Texas at Dallas, Richardson, TX (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• Grant/Contract Number: EE0009518
• OSTI ID: 2007227
• Alternate ID(s): OSTI ID: 2202261; OSTI ID: 2202649
• Journal Information: ACS Applied Nano Materials, Vol. 6, Issue 19; ISSN 2574-0970
• Publisher: American Chemical Society (ACS)Copyright Statement
• Country of Publication: United States
• Language: English