4 papers
Constructing Inverse Potentials from Scattering Phase Shifts using Physics-Informed Neural Networks: Application to Neutron-Alpha Scattering
Ayushi Awasthi Ishwar Kant Arushi Sharma M. R. Ganesh Kumar, O. S. K. S. Sastri
We develop a physics-informed neural networks (PINNs) framework for the inverse scattering problem in nuclear physics and apply it to the partial wave of neutron-alpha el…
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…
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…
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 combinatio…