Linus C. Erhard

activity

20232026

most citedModelling atomic and nanoscale structure in the silicon-oxygen system through active machine learning

77 citations · 116 across the 6 of their papers we have counts for

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Showing 2026 · cond-mat.mtrl-sciShow all

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cond-mat.mtrl-sci2026

Chemo-mechanical coupling stabilizes mixed $Ag_{x} Cu_{1 - x} GaSe_{2}$ solar-cell absorbers: Insights from Monte-Carlo simulations assisted by ab initio informed machine-learning potentials

Vasilios Karanikolas, Delwin Perera, Linus Erhard +2

Alloying Ag into Cu(In,Ga)Se $_{2}$ has enabled record solar-cell efficiencies ( $\sim 23.6%$ ), yet their long-term stability remains in question because initio calculations predict a…

Chemo-mechanical coupling stabilizes mixed Agx​Cu1−x​GaSe2​ solar-cell absorbers: Insights from Monte-Carlo simulations assisted by ab initio informed machine-learning potentials

Chemo-mechanical coupling stabilizes mixed $Ag_{x} Cu_{1 - x} GaSe_{2}$ solar-cell absorbers: Insights from Monte-Carlo simulations assisted by ab initio informed machine-learning potentials