102 citations · 590 across the 32 of their papers we have counts for
5 papers · 1 filter
Amplification of explosive width in complex networks
Pitambar Khanra, Prosenjit Kundu, Pinaki Pal +2
We present an adaptive coupling strategy to induce hysteresis/explosive synchronization (ES) in complex networks of phase oscillators Sakaguchi-Kuramoto model). The coupling strate…
Identifying symmetries and predicting cluster synchronization in complex networks
Pitambar Khanra, Subrata Ghosh, Karin Alfaro-Bittner +4
Symmetries in a network connectivity regulate how the graph's functioning organizes into clustered states. Classical methods for tracing the symmetry group of a network require ver…
A novel machine learning-based optimization algorithm (ActivO) for accelerating simulation-driven engine design
Opeoluwa Owoyele, Pinaki Pal
A novel design optimization approach (ActivO) that employs an ensemble of machine learning algorithms is presented. The proposed approach is a surrogate-based scheme, where the pre…
ChemNODE: A Neural Ordinary Differential Equations Approach for Chemical Kinetics Solvers
Opeoluwa Owoyele, Pinaki Pal
Solving for detailed chemical kinetics remains one of the major bottlenecks for computational fluid dynamics simulations of reacting flows using a finite-rate-chemistry approach. T…
Application of an automated machine learning-genetic algorithm (AutoML-GA) coupled with computational fluid dynamics simulations for rapid engine design optimization
Opeoluwa Owoyele, Pinaki Pal, Alvaro Vidal Torreira +4
In recent years, the use of machine learning-based surrogate models for computational fluid dynamics (CFD) simulations has emerged as a promising technique for reducing the computa…