Michael Schneier

According to our database, Michael Schneier authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Latent neural PDE solver: A reduced-order modeling framework for partial differential equations.

Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

J. Comput. Phys., 2025

2024

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation.

Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

CoRR, 2024

Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations.

Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani

CoRR, 2024

2021

On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition.

Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu

SIAM J. Numer. Anal., 2021

The Scott-Vogelius Method for Stokes Problem on Anisotropic Meshes.

Kiera Kean, Michael Neilan, Michael Schneier

CoRR, 2021

Clipping over dissipation in turbulence models.

Kiera Kean, William J. Layton, Michael Schneier

CoRR, 2021

On the Prandtl-Kolmogorov 1-equation model of turbulence.

Kiera Kean, William J. Layton, Michael Schneier

CoRR, 2021

2020

Error Analysis of Supremizer Pressure Recovery for POD based Reduced-Order Models of the Time-Dependent Navier-Stokes Equations.

Kiera Kean, Michael Schneier

SIAM J. Numer. Anal., 2020

An Artificial Compression Reduced Order Model.

Victor P. DeCaria, Traian Iliescu, William J. Layton, Michael McLaughlin, Michael Schneier

SIAM J. Numer. Anal., 2020

An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations.

Victor P. DeCaria, Michael Schneier

CoRR, 2020

2019

An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations.

Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier

SIAM/ASA J. Uncertain. Quantification, 2019

An Improved Discrete Least-Squares/Reduced-Basis Method for Parameterized Elliptic PDEs.

Max D. Gunzburger, Michael Schneier, Clayton G. Webster, Guannan Zhang

J. Sci. Comput., 2019

Diagnostics for Eddy Viscosity Models of Turbulence Including Data-Driven/Neural Network Based Parameterizations.

William J. Layton, Michael Schneier

CoRR, 2019

2017

An Ensemble-Proper Orthogonal Decomposition Method for the Nonstationary Navier-Stokes Equations.

Max D. Gunzburger, Nan Jiang, Michael Schneier

SIAM J. Numer. Anal., 2017