Improvement of ultralow reflectance Si solar cells by machine-learning-assisted optimization for diffusion process
Author:
Funder
Japan Society for the Promotion of Science
Ministry of Education, Culture, Sports, Science and Technology
Publisher
Elsevier BV
Subject
Materials Chemistry,Mechanics of Materials,General Materials Science
Reference18 articles.
1. 0.76% absolute efficiency increase for screen-printed multicrystalline silicon solar cells with nanostructures by reactive ion etching;Chen;Sol. Energy Mater. Sol. Cells,2016
2. Versatile strategies for improving the performance of diamond wire sawn mc-Si solar cells;Zhuang;Sol. Energy Mater. Sol. Cells,2016
3. Optimization of the surface structure on black silicon for surface passivation;Jia;Nanoscale Res. Lett.,2017
4. Optimization of the emitter region and the metal grid of a concentrator silicon solar cell;Xing;J. Semicond.,2013
5. Dielectric surface passivation for silicon solar cells: a review;Bonilla;Phys. Status Solidi Appl. Mater. Sci.,2017
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