Optimizing energy storage of PEDOT thin films with RSM and CSA
Nur Ily Syuhada AHMAD BLYA, Muhammad Norhaffis MUSTAFA, Arshid Numan, Mahran GHANEM
Abstract. Poly(3,4-ethylenedioxythiophene) (PEDOT) was electropolymerized using the chronoamperometry method with different electrodeposition potential (1.00 – 1.50 V) and electrodeposition time (30 – 150 s). Two computational approaches were employed, namely response surface methodology (RSM) as a statistical model and the cuckoo search algorithm (CSA) as a nature-inspired optimization technique. Both methods consistently predicted the same optimal conditions, which were further validated by experimental results. Both models predicted that the electropolymerized PEDOT will achieve the highest areal capacitance at 1.00 V and at 150 s. Experimental validation of these conditions confirmed the highest measured areal capacitance of 6.46 mF cm-2. RSM and CSA prediction models demonstrated high accuracy, with residual standard error (RSE) and a percentage deviation of less than 3%, highlighting the effectiveness of the computational optimization strategy for enhancing the performance of electrochemically synthesized materials.
Keywords
Response Surface Methodology, Cuckoo Search Algorithm, PEDOT, Thin Films
Published online 6/20/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Nur Ily Syuhada AHMAD BLYA, Muhammad Norhaffis MUSTAFA, Arshid Numan, Mahran GHANEM, Optimizing energy storage of PEDOT thin films with RSM and CSA, Materials Research Proceedings, Vol. 67, pp 2-9, 2026
DOI: https://doi.org/10.21741/9781644904176-1
The article was published as article 1 of the book Climate Action and Sustainability
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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