most citedHydrogen-induced degradation dynamics in silicon heterojunction solar cells via machine learning

15 citations · 15 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2023★ 15 cited

Hydrogen-induced degradation dynamics in silicon heterojunction solar cells via machine learning

Andrew Diggs, Zitong Zhao, Reza Vatan +5

Among silicon-based solar cells, heterojunction cells hold the world efficiency record. However, their market acceptance is hindered by an initial 0.5\% per year degradation of the…