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nucl-th2025
Physics-Guided Neural Networks for Constructing Nucleon-Nucleon Inverse Potentials
Ayushi Awasthi, Anil Khachi, M. R. Ganesh Kumar +1
We propose a physics-guided neural network (PGNN) framework for constructing nucleon-nucleon inverse potentials based on inverse scattering theory. The framework integrates the Pha…
nucl-th2025
Genetic Algorithm based Inverse Potentials for Resonant States of Using Variable Phase Approach
Ayushi Awasthi, Arushi Sharma, Barbie +2
Elastic scattering between -particles and nuclei plays a crucial role in understanding resonance phenomena in light nuclear systems. In this work, we construct…
nucl-th2025
Machine Learning Approach to Study of Low Energy Alpha-Deuteron Elastic Scattering using Phase Function Method
Arushi Sharma, Ayushi Awasthi, Jyoti Sharma +3
Central idea: To obtain the interaction potential using the inverse scattering method, we have employed the Physics-Informed Machine Learning (PIML) approach. In this framework, th…