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MACHINE LEANING
Reduced order modelling
Reduced order modelling
Relibilty analysis of high dimenional system though effective rediction of input dimensions
Stochastic mechanics
Stochastic mechanics
Uncertinity quantification in mechanics problems where uncertinities arises from initial conditions, boundary conditions, loading condintions and system prameters
Machine learning models to replace the actual expensive simulations
Koopman operator for time-dependent reliability analysis
Utilization of problem-specific deep learning architectures for frameworks, data-driven, and physics-informed solvers.
Deep learning based Frameworks
Koopman operator for time dependent reliability analysis
STOCHASTIC PROJECTION BASED APROACH FOR GRADIENT FREE PHYSICS INFORMED NEURAL NETWORK
Stochastic-projection based gradient computation
Phase field fracture problem
Physicsinformed wavelet neural operator
Wavelet Transformer for modelling dynamical systems
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