Artificial neural networks for automation of Rutherford backscattering spectroscopy experiments and data analysis

Author:

Barradas N. P.,Vieira A.,Patrício R.

Publisher

American Physical Society (APS)

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advanced 2D-PIXE/RBS processing with Machine Learning at the New AGLAE facility for ancient layered objects;Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms;2024-10

2. Enhanced accuracy through machine learning-based simultaneous evaluation: a case study of RBS analysis of multinary materials;Scientific Reports;2024-04-08

3. Artificial neural networks for NAA: proof of concept on data analysed with k0-based software;Journal of Radioanalytical and Nuclear Chemistry;2022-10-01

4. Thin film depth profiling by ion beam analysis;The Analyst;2016

5. “Total IBA” – Where are we?;Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms;2012-01

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