Michal Osusky

An Assessment of Machine Learning Techniques for Predicting Turbine Airfoil Component Temperatures, Using FEA Simulations for Training Data

James A. Tallman, Michal Osusky, Nick Magina, 2019 .

Comparison of Parallel Preconditioners for a Newton-Krylov Flow Solver

Jason E. Hicken, David W. Zingg, Michal Osusky, 2011 .

GPU-Enabled High-Fidelity LES Simulations for Turbomachinery Flows

Sriram Shankaran, Michal Osusky, Rathakrishnan Bhaskaran, 2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions.

Results from the Fifth AIAA Drag Prediction Workshop obtained with a parallel Newton-Krylov-Schur flow solver discretized using summation-by-parts operators

David W. Zingg, Michal Osusky, Pieter D. Boom, 2013 .

A parallel Newton-Krylov-Schur flow solver for the Navier-Stokes equations discretized using summation-by-parts operators

David W. Zingg, Michal Osusky, D. Zingg, 2013 .

An efficient Newton-Krylov-Schur parallel solution algorithm for the steady and unsteady Navier-Stokes equations

David C. Del Rey Fernández, David W. Zingg, Michal Osusky, 2011 .

Dissipation-based continuation: a globalization for inexact-Newton solvers

Jason E. Hicken, David W. Zingg, Michal Osusky, 2011 .

Parallel Newton–Krylov–Schur Flow Solver for the Navier–Stokes Equations

David W. Zingg, Michal Osusky, D. Zingg, 2013 .

Performance of a Newton-Krylov-Schur Algorithm for the Numerical Solution of the Steady Reynolds-Averaged Navier-Stokes Equations (Invited)

David W. Zingg, Michal Osusky, Howard P. Buckley, 2015 .

A Parallel Newton-Krylov-Schur Algorithm for the Reynolds-Averaged Navier-Stokes Equations

Michal Osusky, M. Osuský, 2014 .