6 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…
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 construc…
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…
Variational Optimization for Constructing Inverse Potentials of Proton-Proton Scattering: A Phase Function Method Study
Lalit Kumar, Arushi Sharma, Anil Khachi +2
Background: The phase-shift analysis for proton-proton scattering has been studied by various research groups using the realistic potentials to be comprised of various internal int…