Posters
* indicates presenting author
Predictive Maintenance using CNN LSTM with Attention
Sri Eshwar College of Engineering
Differentiable Turbulence : Closure as a PDE-constrained Optimization
Penn State University
Scientific machine learning for inverse problems and model order reduction
University of Cambridge
Deep Material Networks
Fraunhofer ITWM
Boundary Condition-based Machine Learning Algorithm for Fast prediction of Supersonic Flows
Indian Institute of Technology Guwahati
Incorporating Long Memory into Echo State Networks
Indian Institute of Science Education and Research, Pune
Vision Transformer for Accelerated Design of Very Low-frequency Metasurface Absorber
Adani University
Learning algorithms for non-linear dynamical systems, control and autonomy
Indian Institute of Information Technology Dharwad
Unsupervised AI for Sustainable Heat Transfer using Nano-Enhanced Phase Change Materials
BML Munjal University
PINN-based Computational Analysis of non-Newtonian Fluid Flow and Heat Transfer
BML Munjal University
Surrogate Modeling of Biomass Gasification in Fluidized Beds Using GRU-RNN
Indian Institute of Technology Madras
Application of Physics Informed Neural Network for an Unsteady Rayleigh-Bénard Flow
ABB (Corporate Research Centre)
Multi-objective Physics-Informed Neural Networks for Hybrid Nanofluid Flow and Heat Transfer in Eccentric Cylinder
BML Munjal University
Predicting Positon Solutions And Their Interaction Dynamics With Solitons Through Physics Informed Neural Networks (PINNs)
Indian Institute of Science Bangalore
Stochastic Subspaces via Bootstrap for Model-form Uncertainty
University of Houston
Sensor selection using end-to-end differentiable networks with application to field reconstruction
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
Physics-informed Neural Networks for Numerical Solution of Nanofluid Swirling Flow over an Exponentially Stretching Cylinder
BML Munjal University
Development of Different Machine Learning Models for Local Contact Search
Indian Institute of Technology Guwahati
A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs
University of Hyderabad
A Physics Informed Neural Network based Closure Equation for the Quasi-Geostrophic Equations
Indian Institute of Technology, Kharagpur
Physics Informed Neural Network for Displacement Based Hyperelastic Problems
Indian Institute of Technology, Kharagpur
Quantizing Quakes: Exploring Neural Codecs for Earthquake Signal Analysis
Indian Institute of Science, Bangalore