Details
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE 48th Photovoltaic Specialists Conference |
| Subtitle of host publication | PVSC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 528-531 |
| Number of pages | 4 |
| ISBN (electronic) | 9781665419222 |
| Publication status | Published - 2021 |
| Event | 48th IEEE Photovoltaic Specialists Conference, PVSC 2021 - Fort Lauderdale, United States Duration: 20 Jun 2021 → 25 Jun 2021 |
Publication series
| Name | Conference Record of the IEEE Photovoltaic Specialists Conference |
|---|---|
| ISSN (Print) | 0160-8371 |
Abstract
Advanced mathematical methods, like machine learning or genetic algorithms, have the potential to further accelerate the computer-aided optimization of processes. In this paper we combine the power of sophisticated numerical simulations with these modern concepts. The goal is to combine the strength of both approaches, high predictive quality from numerical models and fast prediction power of machine learning and genetic algorithms. We demonstrate this on a POCl3 diffusion process and optimize an industry relevant PERC solar cell up to 23.4%. This approach is not limited to POCl3 or PECR cells and can be applied to other cell architectures or processes.
Keywords
- genetic algorithm, machine learning, PERC, POCl3, TCAD
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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2021 IEEE 48th Photovoltaic Specialists Conference: PVSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 528-531 (Conference Record of the IEEE Photovoltaic Specialists Conference).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Combining Numerical Simulations, Machine Learning and Genetic Algorithms for Optimizing a POCl3Diffusion Process
AU - Wagner-Mohnsen, Hannes
AU - Esefelder, Sascha
AU - Kloter, Bernhard
AU - Mitchell, Bernhard
AU - Schinke, Carsten
AU - Bredemeier, Dennis
AU - Jager, Philip
AU - Brendel, Rolf
N1 - Funding Information: Funded by the German Federal Ministry for Economic Affairs and Energy, Project GENESIS (0324274B)
PY - 2021
Y1 - 2021
N2 - Advanced mathematical methods, like machine learning or genetic algorithms, have the potential to further accelerate the computer-aided optimization of processes. In this paper we combine the power of sophisticated numerical simulations with these modern concepts. The goal is to combine the strength of both approaches, high predictive quality from numerical models and fast prediction power of machine learning and genetic algorithms. We demonstrate this on a POCl3 diffusion process and optimize an industry relevant PERC solar cell up to 23.4%. This approach is not limited to POCl3 or PECR cells and can be applied to other cell architectures or processes.
AB - Advanced mathematical methods, like machine learning or genetic algorithms, have the potential to further accelerate the computer-aided optimization of processes. In this paper we combine the power of sophisticated numerical simulations with these modern concepts. The goal is to combine the strength of both approaches, high predictive quality from numerical models and fast prediction power of machine learning and genetic algorithms. We demonstrate this on a POCl3 diffusion process and optimize an industry relevant PERC solar cell up to 23.4%. This approach is not limited to POCl3 or PECR cells and can be applied to other cell architectures or processes.
KW - genetic algorithm
KW - machine learning
KW - PERC
KW - POCl3
KW - TCAD
UR - http://www.scopus.com/inward/record.url?scp=85115928824&partnerID=8YFLogxK
U2 - 10.1109/PVSC43889.2021.9518450
DO - 10.1109/PVSC43889.2021.9518450
M3 - Conference contribution
AN - SCOPUS:85115928824
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 528
EP - 531
BT - 2021 IEEE 48th Photovoltaic Specialists Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE Photovoltaic Specialists Conference, PVSC 2021
Y2 - 20 June 2021 through 25 June 2021
ER -