10 citations · 11 across the 4 of their papers we have counts for
4 papers
Generalized Onsager-Regularized Lattice Boltzmann framework
Anirudh Jonnalagadda, Walter Rocchia, Sauro Succi
This work presents a novel strategy to address Navier-Stokes modelling errors arising on first-nearest neighbour lattice Boltzmann (LB) methods and introduces fully local correctio…
Towards nonlinear thermohydrodynamic simulations via the Onsager-Regularized Lattice Boltzmann Method
Anirudh Jonnalagadda, Amit Agrawal, Atul Sharma +2
This work presents a generalized, assumption-free, and stencil-independent theoretical analyses of the recently proposed Onsager-Regularized (OReg) lattice Boltzmann (LB) method [J…
A co-kurtosis PCA based dimensionality reduction with nonlinear reconstruction using neural networks
Dibyajyoti Nayak, Anirudh Jonnalagadda, Uma Balakrishnan +2
For turbulent reacting flows, identification of low-dimensional representations of the thermo-chemical state space is vitally important, primarily to significantly reduce the compu…
A co-kurtosis based dimensionality reduction method for combustion datasets
Anirudh Jonnalagadda, Shubham P. Kulkarni, Akash Rodhiya +2
Principal Component Analysis (PCA) is a dimensionality reduction technique widely used to reduce the computational cost associated with numerical simulations of combustion phenomen…