Παρακολούθηση
Shaowu Pan
Shaowu Pan
Assistant Professor of Aerospace Engineering, Rensselaer Polytechnic Institute
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rpi.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
L Sun, H Gao, S Pan, JX Wang
Computer Methods in Applied Mechanics and Engineering 361, 112732, 2020
6832020
Prediction of aerodynamic flow fields using convolutional neural networks
S Bhatnagar, Y Afshar, S Pan, K Duraisamy, S Kaushik
Computational Mechanics 64, 525-545, 2019
4542019
Stiff-pinn: Physics-informed neural network for stiff chemical kinetics
W Ji, W Qiu, Z Shi, S Pan, S Deng
The Journal of Physical Chemistry A 125 (36), 8098-8106, 2021
1562021
Physics-informed probabilistic learning of linear embeddings of nonlinear dynamics with guaranteed stability
S Pan, K Duraisamy
SIAM Journal on Applied Dynamical Systems 19 (1), 480-509, 2020
1312020
Data-driven Discovery of Closure Models
S Pan, K Duraisamy
SIAM Journal on Applied Dynamical Systems 17 (4), 2381-2413, 2018
1082018
Long-time predictive modeling of nonlinear dynamical systems using neural networks
S Pan, K Duraisamy
Complexity 2018, 2018
992018
Augmentation of Turbulence Models Using Field Inversion and Machine Learning
K Duraisamy, AP Singh, S Pan
AIAA SciTech Forum, 2017
74*2017
On the Structure of Time-delay Embedding in Linear Models of Non-linear Dynamical Systems
S Pan, K Duraisamy
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (7), 073135, 2020
682020
Combustion heat-release effects on supersonic compressible turbulent boundary layers
Z Gao, C Jiang, S Pan, CH Lee
AIAA Journal 53 (7), 1949-1968, 2015
572015
Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces
S Pan, N Arnold-Medabalimi, K Duraisamy
Journal of Fluid Mechanics 917, A18, 2021
542021
The role of bulk viscosity on the decay of compressible, homogeneous, isotropic turbulence
S Pan, E Johnsen
Journal of Fluid Mechanics 833, 717-744, 2017
522017
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
S Pan, SL Brunton, JN Kutz
Journal of Machine Learning Research 24 (41), 1-60, 2023
312023
Characterizing and Improving Predictive Accuracy in Shock-Turbulent Boundary Layer Interactions Using Data-driven Models
AP Singh, S Pan, K Duraisamy
55th AIAA Aerospace Sciences Meeting, 0314, 2017
212017
Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning
Q Gao, S Pan, H Wang, R Wei, J Wang
Advances in Aerodynamics 3 (1), 28, 2021
192021
Non-linear independent dual system (NIDS) for discretization-independent surrogate modeling over complex geometries
J Duvall, K Duraisamy, S Pan
arXiv preprint arXiv:2109.07018, 2021
102021
Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations
J Duvall, K Duraisamy, S Pan
arXiv preprint arXiv:2109.07018, 2021
62021
Robust and interpretable learning for operator-theoretic modeling of non-linear dynamics
S Pan
University of Michigan, Ann Arbor, 2021
52021
Towards engine-mounted exhaust and muffler aeroacoustics predictions using a Lattice Boltzmann based method
A Mann, M Kim, S Pan, B Neuhierl, F Perot, J Ocampo
M], FISITA World Congress, 2016
52016
PyKoopman: a python package for data-driven approximation of the Koopman operator
S Pan, E Kaiser, BM de Silva, JN Kutz, SL Brunton
Journal of Open Source Software 94, 5881, 2024
42024
Numerical investigation of rarefaction effects in the vicinity of a sharp leading edge
S Pan, Z Gao, C Lee
AIP Conference Proceedings 1628 (1), 185-191, 2014
42014
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