most citedPredicting electronic stopping powers using stacking ensemble machine learning method

18 citations · 18 across the 1 of their papers we have counts for

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1 paper

physics.med-ph2022★ 18 cited

Predicting electronic stopping powers using stacking ensemble machine learning method

Fatemeh Akbari, Somayeh Taghizadeh, Diana Shvydka +2

Purpose: Accurate electronic stopping power data is crucial for calculating radiation-induced effects in various applications, from dosimetry and radiotherapy to particle physics.…