Daniel Livescu
- Compressed Convolutional LSTM: An Efficient Deep Learning framework to\n Model High Fidelity 3D Turbulence
2019/02/28 by Arvind Mohan, Don Daniel, Mohan, Arvind +6 · 10 citations
Computer Science · Physics and Astronomy · Engineering · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows
- Embedding Hard Physical Constraints in Neural Network Coarse-Graining of\n 3D Turbulence
2020/01/31 by Arvind Mohan, Nicholas Lubbers, Mohan, Arvind T. +5 · 9 citations
Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Lattice Boltzmann Simulation Studies #Generative Adversarial Networks and Image Synthesis
- Skeletal Model Reduction with Forced Optimally Time Dependent Modes
2021/03/03 by Arash G. Nouri, Hessam Babaee, Nouri, A. G. +7 · 3 citations
Chemical Engineering · Decision Sciences · Physics and Astronomy · #Advanced Chemical Physics Studies #Advanced Combustion Engine Technologies #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Probabilistic and Robust Engineering Design
- Regression-based projection for learning Mori-Zwanzig operators
2022/05/10 by Yen Ting Lin, Yifeng Tian, Lin, Yen Ting +5 · 2 citations
Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Physics-Constrained Generative Adversarial Networks for 3D Turbulence
2022/12/01 by Dima Tretiak, Tretiak, Dima, Arvind Mohan +3 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Image Processing Techniques #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Lagrangian Large Eddy Simulations via Physics Informed Machine Learning
2022/07/08 by Yifeng Tian, Tian, Yifeng, Mark Woodward +11 · 1 citation
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies
- Full trajectory optimizing operator inference for reduced-order modeling using differentiable programming
2023/01/25 by Surya Chakrabarti, Arvind Mohan, Chakrabarti, Surya +5 · 1 citation
Engineering · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Hydraulic and Pneumatic Systems #Model Reduction and Neural Networks #Real-time simulation and control systems
- Skeletal Kinetics Reduction for Astrophysical Reaction Networks
2024/04/26 by A. G. Nouri, Nouri, A. G., Yi Liu +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Chemistry · #Protein Structure and Dynamics #Computational Drug Discovery Methods #Molecular spectroscopy and chirality
- Data-Driven Mori-Zwanzig: Approaching a Reduced Order Model for Hypersonic Boundary Layer Transition
2023/01/17 by Mark Woodward, Woodward, Michael, Yifeng Tian +12 · 1 citation
Physics and Astronomy · Engineering · Earth and Planetary Sciences · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations