Michael Schneier

17 papers A* 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Latent neural PDE solver: A reduced-order modeling framework for partial differential equations.
J. Comput. Phys.
Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2025 A* conf
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.
ICLR
Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2024 J jnl
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations.
CoRR
Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2024 J jnl
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.
CoRR
Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2021 J jnl
Clipping over dissipation in turbulence models.
CoRR
Kiera Kean, William J. Layton, Michael Schneier
2021 J jnl
On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition.
SIAM J. Numer. Anal.
Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2021 J jnl
On the Prandtl-Kolmogorov 1-equation model of turbulence.
CoRR
Kiera Kean, William J. Layton, Michael Schneier
2021 J jnl
The Scott-Vogelius Method for Stokes Problem on Anisotropic Meshes.
CoRR
Kiera Kean, Michael Neilan, Michael Schneier
2020 J jnl
An Artificial Compression Reduced Order Model.
SIAM J. Numer. Anal.
Victor P. DeCaria, Traian Iliescu, William J. Layton, Michael McLaughlin, Michael Schneier
2020 J jnl
An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations.
CoRR
Victor P. DeCaria, Michael Schneier
2020 J jnl
Error Analysis of Supremizer Pressure Recovery for POD based Reduced-Order Models of the Time-Dependent Navier-Stokes Equations.
SIAM J. Numer. Anal.
Kiera Kean, Michael Schneier
2020 J jnl
On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition.
CoRR
Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2019 J jnl
An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations.
SIAM/ASA J. Uncertain. Quantification
Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier
2019 J jnl
An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs.
J. Sci. Comput.
Max D. Gunzburger, Michael Schneier, Clayton G. Webster, Guannan Zhang
2019 J jnl
Diagnostics for Eddy Viscosity Models of Turbulence Including Data-Driven/Neural Network Based Parameterizations.
CoRR
William J. Layton, Michael Schneier
2019 J jnl
Error Analysis of Supremizer Pressure Recovery for POD based Reduced Order Models of the time-dependent Navier-Stokes Equations.
CoRR
Kiera Kean, Michael Schneier
2017 J jnl
An Ensemble-Proper Orthogonal Decomposition Method for the Nonstationary Navier-Stokes Equations.
SIAM J. Numer. Anal.
Max D. Gunzburger, Nan Jiang, Michael Schneier