Michael Schneier

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Partial Differential Equations

Top Venues

SIAM J. Numer. Anal.

SIAM/ASA J. Uncertain. Quantification

J. Sci. Comput.

Publications

Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. CoRR (2024)
Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. SIAM J. Numer. Anal. 59 (4) (2021)
Kiera Kean, Michael Neilan, Michael Schneier
The Scott-Vogelius Method for Stokes Problem on Anisotropic Meshes. CoRR (2021)
Kiera Kean, William J. Layton, Michael Schneier
Clipping over dissipation in turbulence models. CoRR (2021)
Kiera Kean, William J. Layton, Michael Schneier
On the Prandtl-Kolmogorov 1-equation model of turbulence. CoRR (2021)
Victor DeCaria, Michael Schneier
An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations. CoRR (2020)
Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. CoRR (2020)
Victor DeCaria, Traian Iliescu, William J. Layton, Michael McLaughlin, Michael Schneier
An Artificial Compression Reduced Order Model. SIAM J. Numer. Anal. 58 (1) (2020)
Kiera Kean, Michael Schneier
Error Analysis of Supremizer Pressure Recovery for POD based Reduced-Order Models of the Time-Dependent Navier-Stokes Equations. SIAM J. Numer. Anal. 58 (4) (2020)
Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier
An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations. SIAM/ASA J. Uncertain. Quantification 7 (4) (2019)
Kiera Kean, Michael Schneier
Error Analysis of Supremizer Pressure Recovery for POD based Reduced Order Models of the time-dependent Navier-Stokes Equations. CoRR (2019)
William J. Layton, Michael Schneier
Diagnostics for Eddy Viscosity Models of Turbulence Including Data-Driven/Neural Network Based Parameterizations. CoRR (2019)
Max D. Gunzburger, Michael Schneier, Clayton G. Webster, Guannan Zhang
An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs. J. Sci. Comput. 81 (1) (2019)
Max D. Gunzburger, Nan Jiang, Michael Schneier
An Ensemble-Proper Orthogonal Decomposition Method for the Nonstationary Navier-Stokes Equations. SIAM J. Numer. Anal. 55 (1) (2017)