P
Pranshu Pant
Researcher at Carnegie Mellon University
Publications - 3
Citations - 46
Pranshu Pant is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Autoencoder & Artificial neural network. The author has an hindex of 1, co-authored 3 publications receiving 4 citations.
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Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
TL;DR: In this paper, the authors develop a deep learning framework DL-ROM (deep learning-reduced order modeling) to create a neural network capable of non-linear projections to reduced order states.
Posted Content
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data.
TL;DR: A novel deep learning framework SR-DNS Net is introduced, which aims to mitigate this inherent trade-off between solution fidelity and computational complexity by leveraging deep learning techniques used in image super-resolution.
Posted Content
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations
TL;DR: In this paper, the authors develop a deep learning framework DL-ROM (Deep Learning - Reduced Order Modeling) to create a neural network capable of non-linear projections to reduced order states.