3 papers
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
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…
nucl-th2024
Ab-initio Approach for Constructing Inverse Potentials for Resonant States of α-3H and α-3He Scattering
Ishwar Kant, Ayushi Awasthi, Arushi Sharma +3
In this paper, the inverse potentials for the resonant f states of α-3H and α-3He are constructed using the phase function method by utilizing an ab-initio approach. A combination…