7 citations · 15 across the 16 of their papers we have counts for
3 papers · 1 filter
Few-fermion resonant tunneling and underbarrier trapping in asymmetric potentials
Elvira Bilokon, Valeriia Bilokon, Dusty R. Lindberg +3
Understanding quantum tunneling in many-body systems is crucial for advancing quantum technologies and nanoscale device design. Despite extensive studies of quantum tunneling, the…
Input-Output Optics as a Causal Time Series Mapping: A Generative Machine Learning Solution
Abhijit Sen, Bikram Keshari Parida, Kurt Jacobs +1
The response of many-body quantum systems to an optical pulse can be extremely challenging to model. Here we explore the use of neural networks, both traditional and generative, to…
Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN
Subhajit Patra, Sonali Panda, Bikram Keshari Parida +4
Physics-informed neural networks have proven to be a powerful tool for solving differential equations, leveraging the principles of physics to inform the learning process. However,…