Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry. - Abhiram Anand Thiruthummal; Eun-Jin Kim (Entropy, 2022)

Extremization to fine tune physics informed neural networks for solving boundary value problems. - Abhiram Anand Thiruthummal; Sergiy Shelyag; Eun-Jin Kim (Commun. Nonlinear Sci. Numer. Simul., 2024)

Information geometry of evolution of neural network parameters while training. - Abhiram Anand Thiruthummal; Eun-Jin Kim; Sergiy Shelyag (Neurocomputing, 2024)

Stochastic Dynamics of Fusion Low-to-High Confinement Mode (L-H) Transition: Correlation and Causal Analyses Using Information Geometry. - Eun-Jin Kim; Abhiram Anand Thiruthummal (Entropy, 2024)