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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Muhammad Bilal Hassani

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Oct 2026

Systematic analysis of nuclear binding energy using XGBoost residual modeling

Abstract Understanding nuclear structure and astrophysical nucleosynthesis processes depends on the analysis of nuclear binding energy, which remains one of the challenging problems in nuclear physics. The macroscopic semi-empirical mass formula (SEMF) provides a fundamental description based on the liquid-drop model;...

Muhammad Bilal Hassani, Abdul Kabir, S. Berbache et al. · 0 citations
Sep 2026

Comparative Study of Feedforward Neural Network and NGBoost for Proton Separation Energy Predictions

Accurate prediction of nuclear proton separation energies is very important to understand the fundamental nuclear structure and rapid proton capture (rp-process) astrophysical simulations. While standard global mass models are built on powerful theoretical bases, the complex interaction between the macroscopic liquid...

Muhammad Bilal Hassani, S. Berbache, Abdul Kabir et al. · 0 citations

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