Spotlight Paper Presentations
* indicates presenting author
| Title | Authors | Affiliation |
|---|---|---|
| Improved deep learning of chaotic dynamical systems with multistep penalty losses | , Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik | Penn State University |
| Digital Twin Framework for Enhancing BESS | , Vishnu Nair, Vikas Yadav, Sweekruti, Sarthak Chopra, Tripti Gangwar, Sarnaduti Brahma, Pragya Tripathi, Lalit Kumar | Siemens Limited, India |
| Machine Learning Driven Metric Based Mesh Adaptation | Kunal Ghosh, , Dipendra Kain, Aravind Balan, Ajay Rangarajan | Indian Institute of Science (IISc) Bangalore |
| TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models | , Yucong Hu, Nishant Parashar, Antoine Blanchard, Boyko Dodov | Verisk, India |
| Solving Nonlinear Evolution Equations Using Physics-Informed Neural Network | , Chandhini G, Nagaiah Chamakuri, Rakesh Kumar | National Institute of Technology Karnataka |
| Model-operator fusion for scientific machine learning | , Souvik Chakraborty | Indian Institute of Technology Delhi |
| Physics Informed Neural Network Framework for Full Order and Reduced Order External CFD Solver | , Giovanni Stabile, Gianluigi Rozza | International School for Advanced Studies (SISSA), Trieste, Italy |
| GFPINNs : General Fractional Physics-informed Neural Networks | , Gianluigi Rozza | International School for Advanced Studies (SISSA), Trieste, Italy |
| The GONG Particle Filter: A Novel Framework for Data Assimilation in Stochastic PDEs | Colin J. Cotter, Dan Crisan, | Imperial College London |
| Visual Damage Modeling with Physics-informed and Generative Models | , Subin Varghese, Reza Bazrgary | University of Houston |
Posters
* indicates presenting author
| Title | Authors | Affiliation |
|---|---|---|
| Predictive Maintenance using CNN LSTM with Attention | Sri Eshwar College of Engineering | |
| Differentiable Turbulence : Closure as a PDE-constrained Optimization | , Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik | Penn State University |
| PaperMatch: Cross-Domain Semantic Search for Accelerating Scientific Discovery | – | |
| Scientific machine learning for inverse problems and model order reduction | Yuxuan Chen, , Garth Wells | University of Cambridge |
| Deep Material Networks | , Matti Schneider, Matthias Kabel | Fraunhofer ITWM |
| Boundary Condition-based Machine Learning Algorithm for Fast prediction of Supersonic Flows | , Niranjan Sahoo, Tapan K. Mankodi | Indian Institute of Technology Guwahati |
| Incorporating Long Memory into Echo State | , Tanujit Chakraborty | Indian Institute of Science Education and Research |
| Vision Transformer for Accelerated Design of Very Low-frequency Metasurface Absorber | Dev Sanghvi, Prit Thakkar, Naimish Bhuva, Heet Vekariya, Bishwajit Dey, | Adani University |
| Learning algorithms for non-linear dynamical systems, control and autonomy | (on behalf of Dr. Lakshman Mahto) | Indian Institute of Information Technology Dharwad |
| Unsupervised AI for Sustainable Heat Transfer using Nano-Enhanced Phase Change Materials | Ziya Uddin, Himanshu Upreti and | BML Munjal University |
| PINN-based Computational Analysis of non-Newtonian Fluid Flow and Heat Transfer | , Ziya Uddin, Mohd Vaseem | BML Munjal University |
| Surrogate Modeling of Biomass Gasification in Fluidized Beds Using GRU-RNN | , Racha Varun Kumar, Himanshu Goyal | Indian Institute of Technology Madras |
| Application of Physics Informed Neural Network for an Unsteady Rayleigh-Bénard Flow | , Chandrika K R, Divyasheel Sharma, Subhashish Dasgupta | ABB (Corporate Research Centre) |
| ConTra : Convolutional Transformer for Multivariate Long Sequence Time Series Forecasting | Akash Manikrao Jadhav, Siddharth Manikrao Jadhav, , Manish Doiphode | – |
| Accelerating Battery Pack Thermal Simulations using Physics-Informed Neural Networks | , Prashant Srivastava, Datta Prasad MR | Oorja Energy |
| Multi-objective Physics-Informed Neural Networks for Hybrid Nanofluid Flow and Heat Transfer in Eccentric Cylinder | , Ziya Uddin | BML Munjal University |
| Predicting Positon Solutions And Their Interaction Dynamics With Solitons Through Physics Informed Neural Networks (PINNs) | , K. Thulasidharan, S. Monisha, M. Senthilvelan | Indian Institute of Science Bangalore |
| Stochastic Subspaces via Bootstrap for Model-form Uncertainty | , Ruda Zhang | University of Houston |
| Sensor selection using end-to-end differentiable networks with application to field reconstruction | , Pawan Goyal, Peter Benner | 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 | , Sai Ganga | BML Munjal University |
| Developement of Different Machine Learning Models for Local Contact Search | , Dipjyoti Nath, Roger A. Sauer, Sachin Singh Gautam | Indian Institute of Technology Guwahati |
| A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs | (School of Physics, University of Hyderabad, Hyderabad), Jaswin Kasi (Mercedes-Benz Research and Development India, Bangalore) | 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 | Ajay D. Borkar, , and Sachin S. Gautam | Indian Institute of Technology, Kharagpur |
| Quantizing Quakes: Exploring Neural Codecs for Earthquake Signal Analysis | , and Pawan Bharadwaj | Indian Institute of Science Bangalore |