14 citations · 24 across the 3 of their papers we have counts for
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nucl-ex2022★ 14 cited
Modeling Heavy-Ion Fusion Cross Section Data via a Novel Artificial Intelligence Approach
Daniele Dell'Aquila, Brunilde Gnoffo, Ivano Lombardo +2
We perform a comprehensive analysis of complete fusion cross section data with the aim to derive, in a completely data-driven way, a model suitable to predict the integrated cross…
nucl-ex2020★ 10 cited
Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach
D. Dell'Aquila, M. Russo
This paper presents an automatic method for data classification in nuclear physics experiments based on evolutionary computing and vector quantization. The major novelties of our a…