arxiv
PublishedSeptember 10, 2026 at 4:00 AM
Inclusive electron-nucleus cross section models from domain adaptation
Publisher summary· verbatim
arXiv:2609.08463v1 Announce Type: cross Abstract: We apply transfer learning (TL) to construct data-driven models of inclusive electron-nucleus cross sections. Starting from an ensemble of deep neural networks pretrained on \(^{12}\)C data, we fine-tune the models separately for \(^{3}\)He, \(^{6}\)
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Originally published on arxiv ↗