Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence |
| Untertitel | ProfIT AI 2024 |
| Seiten | 338-347 |
| Seitenumfang | 10 |
| Publikationsstatus | Veröffentlicht - 5 Okt. 2024 |
| Veranstaltung | 4th International Workshop of IT-Professionals on Artificial Intelligence, ProfIT AI 2024 - Cambridge, USA / Vereinigte Staaten Dauer: 25 Sept. 2024 → 27 Sept. 2024 |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR-WS |
| Band | 3777 |
| ISSN (Print) | 1613-0073 |
Abstract
This study presents a comprehensive mathematical modeling and numerical simulation of electrochemiluminescent (ECL) cells, which are the main elements of ECL sensors and light emitters. The ECL cell is designed to generate optical signal, and its efficiency is crucial for the overall performance of ECL sensors and light emitting devices. The mathematical model is based on the physical principles of electrochemiluminescence, which involve electron transfer reactions between electrochemiluminophores and electrodes. The model takes into account the diffusion of particles, recombination rates, and emission processes, resulting in a system of nonlinear partial differential equations. Two types of ECL cell designs are considered: a cell with counter diffusion of anions and cations, and a cell with a thin film of electrochemiluminophore on the anode. The numerical solutions of the model equations are presented, and the results show that the cell with a thin film of electrochemiluminophore exhibits superior efficiency and a more favorable distribution of emitters. The study also estimates the photon yield in both types of cells and compares their light emission efficiency. The results indicate that the cell with a thin film of electrochemiluminophore would have significantly higher ECL efficiency than the cell with counter diffusion of anions and cations. Overall, this study provides a fundamental understanding of the processes involved in thin-layer ECL cells and offers valuable insights into the design and optimization of thin-layer ECL sensors and light emitters.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence: ProfIT AI 2024. 2024. S. 338-347 (CEUR Workshop Proceedings; Band 3777).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Numerical Simulation of Kinetic Processes in Thin-layer Electrochemiluminescent Light Emitting Cells
AU - Martynov, Danylo
AU - Zholudov, Yuriy
AU - Slipchenko, Mykola
AU - Slipchenko, Olena
AU - Korobchynskyi, Kyryl
N1 - Publisher Copyright: © 2024 Copyright for this paper by its authors.
PY - 2024/10/5
Y1 - 2024/10/5
N2 - This study presents a comprehensive mathematical modeling and numerical simulation of electrochemiluminescent (ECL) cells, which are the main elements of ECL sensors and light emitters. The ECL cell is designed to generate optical signal, and its efficiency is crucial for the overall performance of ECL sensors and light emitting devices. The mathematical model is based on the physical principles of electrochemiluminescence, which involve electron transfer reactions between electrochemiluminophores and electrodes. The model takes into account the diffusion of particles, recombination rates, and emission processes, resulting in a system of nonlinear partial differential equations. Two types of ECL cell designs are considered: a cell with counter diffusion of anions and cations, and a cell with a thin film of electrochemiluminophore on the anode. The numerical solutions of the model equations are presented, and the results show that the cell with a thin film of electrochemiluminophore exhibits superior efficiency and a more favorable distribution of emitters. The study also estimates the photon yield in both types of cells and compares their light emission efficiency. The results indicate that the cell with a thin film of electrochemiluminophore would have significantly higher ECL efficiency than the cell with counter diffusion of anions and cations. Overall, this study provides a fundamental understanding of the processes involved in thin-layer ECL cells and offers valuable insights into the design and optimization of thin-layer ECL sensors and light emitters.
AB - This study presents a comprehensive mathematical modeling and numerical simulation of electrochemiluminescent (ECL) cells, which are the main elements of ECL sensors and light emitters. The ECL cell is designed to generate optical signal, and its efficiency is crucial for the overall performance of ECL sensors and light emitting devices. The mathematical model is based on the physical principles of electrochemiluminescence, which involve electron transfer reactions between electrochemiluminophores and electrodes. The model takes into account the diffusion of particles, recombination rates, and emission processes, resulting in a system of nonlinear partial differential equations. Two types of ECL cell designs are considered: a cell with counter diffusion of anions and cations, and a cell with a thin film of electrochemiluminophore on the anode. The numerical solutions of the model equations are presented, and the results show that the cell with a thin film of electrochemiluminophore exhibits superior efficiency and a more favorable distribution of emitters. The study also estimates the photon yield in both types of cells and compares their light emission efficiency. The results indicate that the cell with a thin film of electrochemiluminophore would have significantly higher ECL efficiency than the cell with counter diffusion of anions and cations. Overall, this study provides a fundamental understanding of the processes involved in thin-layer ECL cells and offers valuable insights into the design and optimization of thin-layer ECL sensors and light emitters.
KW - Diffusion
KW - electrochemiluminescence
KW - mathematical modeling
KW - modified electrode
KW - recombination
KW - thin-layer electrochemical cell
UR - http://www.scopus.com/inward/record.url?scp=85210103915&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85210103915
T3 - CEUR Workshop Proceedings
SP - 338
EP - 347
BT - Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence
T2 - 4th International Workshop of IT-Professionals on Artificial Intelligence, ProfIT AI 2024
Y2 - 25 September 2024 through 27 September 2024
ER -