Journal Papers
-
AH Razavi and M Yano. Registration-based nonlinear model reduction of parametrized aerodynamics problems with applications to transonic Euler and RANS flows. Journal of Computational Physics, 521:113576, 2025.
paper
| doi:10.1016/j.jcp.2024.113576
-
M Ebrahimi and M Yano. A hyperreduced reduced basis element method for reduced-order modeling of component-based nonlinear systems. Computer Methods in Applied Mechanics and Engineering, 431:117254, 2024.
paper
| doi:10.1016/j.cma.2024.117254
-
E Parish, M Yano, I Tezaur, and T Iliescu. Residual-based stabilized reduced-order models of the transient convection-diffusion-reaction equation obtained through discrete and continuous projection. Archives of Computational Methods in Engineering. Accepted, 2024.
paper
| doi:10.1007/s11831-024-10197-1
-
C Audouze, A Klein, A Butscher, N Morris, PB Nair, and M Yano. Robust level-set-based topology optimization under uncertainties using anchored ANOVA Petrov-Galerkin method.
SIAM/ASA Journal on Uncertainty Quantification, 11(3): 877--905, 2023.
paper | doi:10.1137/22M1524722
-
G Lu, AM Steinberg, and M Yano. A sparse optical flow inspired method for 3D velocimetry.
Experiments in Fluids, 64:66, 2023.
doi:10.1007/s00348-023-03593-z
-
AF Ilersich, KA Schau, JC Oefelein, AM Steinberg, and M Yano. Augmenting covariance estimation for ensemble-based data assimilation in multiple-query scenarios.
Combustion Theory and Modelling, 26(6):1041-1070, 2022.
paper | doi:10.1080/13647830.2022.2105259
-
G Donoghue and M Yano.
A multi-fidelity ensemble Kalman filter with hyperreduced reduced-order models.
Computer Methods in Applied Mechanics and Engineering, 398:115282, 2022.
paper | doi:10.1016/j.cma.2022.115282
-
E Du and M Yano.
Efficient hyperreduction of high-order discontinuous Galerkin methods: element-wise and point-wise reduced quadrature formulations.
Journal of Computational Physics, 466:111399, 2022.
paper | doi:10.1016/j.jcp.2022.111399
-
A Klein, PB Nair, and M Yano.
A priori error analysis of shape derivatives of linear functionals in structural topology optimization.
Computer Methods in Applied Mechanics and Engineering, 395:114991, 2022.
paper | doi:10.1016/j.cma.2022.114991
-
M Sleeman and M Yano.
Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations.
Computational Methods in Applied Mechanics and Engineering, 388:114206, 2022.
paper | doi:10.1016/j.cma.2021.114206
-
K Kumashiro, AM Steinberg, and M Yano.
A functional error analysis of differential optical flow methods.
Experiments in Fluids, 62:159, 2021.
paper | doi:10.1007/s00348-021-03244-1
-
M Yano, T Huang, and MJ Zahr.
A globally convergent method to accelerate topology optimization using on-the-fly model reduction.
Computational Methods in Applied Mechanics and Engineering, 375:113635, 2021.
paper | doi:10.1016/j.cma.2020.113635
-
G Donoghue and M Yano.
Spatio-stochastic adaptive discontinuous Galerkin methods.
Computational Methods in Applied Mechanics and Engineering, 374:113570, 2021.
paper | doi:10.1016/j.cma.2020.113570
-
M Yano.
Goal-oriented model reduction of parametrized nonlinear PDEs; application to aerodynamics.
International Journal for Numerical Methods in Engineering, 121:5200-5226, 2020.
paper | doi:10.1002/nme.6395
-
M Yano.
Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws.
Advances in Computational Mathematics, 45:2287-2320, 2019.
paper | doi:10.1007/s10444-019-09710-z
-
M Yano and AT Patera.
An LP empirical quadrature procedure for reduced basis treatment of parametrized nonlinear PDEs.
Computational Methods in Applied Mechanics and Engineering, 344:1104-1123, 2019.
paper | doi:10.1016/j.cma.2018.02.028
-
D Getty, H Li, M Yano, C Gao, and AE Hosoi.
Luck and the law: quantifying chance in fantasy sports and other contests.
SIAM Review, 60:869–887, 2018.
paper | doi:10.1137/16M1102094
-
M Yano.
A reduced basis method for coercive equations with an exact solution certificate and spatio-parameter adaptivity: energy-norm and output error bounds,
SIAM Journal on Scientific Computing, 40(1):A388-A420, 2018.
paper | doi:10.1137/16M1071341
-
T Taddei, JD Penn, M Yano, and AT Patera.
Simulation-based classification; a model-order reduction approach for structural health monitoring.
Archives of Computational Methods in Engineering, 25(1): 23-45, 2018.
paper | doi:10.1007/s11831-016-9185-0
-
AT Patera and M Yano.
An LP empirical quadrature procedure for parametrized functions.
Comptes Rendus Mathematique, 355(11):1161-1167, 2017.
paper | doi:10.1016/j.crma.2017.10.020
-
M Yano.
A minimum-residual mixed reduced basis method: Exact residual certification and simultaneous finite-element reduced-basis refinement.
Mathematical Modelling and Numerical Analysis, 50:163-185, 2016.
paper | doi:10.1051/m2an/2015039
-
Y Maday, O Mula, AT Patera, and M Yano.
The generalized Empirical Interpolation Method: stability theory on Hilbert spaces with an application to the Stokes equation.
Computational Methods in Applied Mechanics and Engineering, 287:310-334, 2015.
paper | doi:10.1016/j.cma.2015.01.018
-
M Yano.
A reduced basis method with exact-solution certificates for steady symmetric coercive equations.
Computational Methods in Applied Mechanics and Engineering, 287:290-309, 2015.
paper | doi:10.1016/j.cma.2015.01.003
-
Y Maday, AT Patera, JD Penn, and M Yano.
A parametrized-background data-weak approach to variational data assimilation: Formulation, analysis, and application to acoustics.
International Journal for Numerical Methods in Engineering, 102(5):933-965, 2015.
paper | doi:10.1002/nme.4747
-
M Yano.
A space-time Petrov-Galerkin certified reduced basis method: Application to the Boussinesq equations.
SIAM Journal on Scientific Computing, 36(1):A232-A266, 2014.
paper | doi:10.1137/120903300
-
M Yano, AT Patera, and K Urban.
A space-time certified reduced basis method for Burgers' equation.
Mathematical Models and Methods in Applied Sciences, 24:1903, 2014.
paper | doi:10.1142/S0218202514500110
-
M Yano, JD Penn, and AT Patera.
A model-data weak formulation for simultaneous estimation of state and bias.
Comptes Rendus Mathematique, 351(23-24):937-941, 2013.
paper | doi:10.1016/j.crma.2013.10.034
-
M Yano and AT Patera.
A space-time variational approach to hydrodynamic stability theory.
Proceedings of the Royal Society A, 469(2155): Article Number 20130036, 2013.
paper | doi:/10.1098/rspa.2013.0036
-
M Yano and DL Darmofal.
An optimization framework for anisotropic simplex mesh adaptation.
Journal of Computational Physics, 231:7626-7649, 2012.
paper |
doi:10.1016/j.jcp.2012.06.040
-
M Yano and DL Darmofal.
BDDC preconditioning for high-order Galerkin least-squares method using inexact solvers.
Computational Methods in Applied Mechanics and Engineering, 199:2958-2969, 2010.
doi:10.1016/j.cma.2010.06.006
-
M Yano and MLR Walker.
Generalized theory of annularly-bounded helicon waves.
Physics of Plasmas, 14, 033510:1-7, 2007.
doi:10.1063/1.2716663
-
M Yano and MLR Walker.
Plasma ionization by annularly-bounded helicon waves.
Physics of Plasmas, 13, 063501:1-5, 2006.
doi:10.1063/1.2207125
Book Chapters
-
M Yano.
Model reduction in computational aerodynamics.
In P Benner, S Grivet-Talocia, A Quarteroni, G Rozza, WHA Schilders, and LM Silveira (Eds.), Model Order Reduction, Volume 3, Chapter 6, 2020.
paper |
doi:10.1515/9783110499001-006 |
book
-
M Yano.
A reduced basis method with an exact solution certificate and spatio-parameter adaptivity: application to linear elasticity.
In P Benner, M Ohlberger, A Patera, G Rozza, and K Urban (Eds.), Model Reduction of Parametrized Systems, Chapter 4, 55-76, 2017.
paper |
doi:10.1007/978-3-319-58786-8_4 |
book
Conference Papers
-
AH Razavi and M Yano.
Nonlinear model reduction for rapid and reliable CFD: application to transonic RANS flows.
CSME/CFD2024, May 2024.
paper
-
B Gibson and M Yano.
Accelerated nonlinear-PDE-constrained optimization by reduced order modelling.
ECCOMAS Congress, June 2022.
paper |
doi:10.23967/eccomas.2022.035
-
AF Ilersich, K Schau, JC Oefelein, AM Steinberg, and M Yano.
Reducing the cost of ensemble-based data assimilation in multiple-query scenarios through covariance augmentation.
AIAA-2021-3632, AIAA Propulsion and Energy, August 2021.
paper |
doi:10.2514/6.2021-3632
-
E Du, M Sleeman, and M Yano.
Adaptive discontinuous-Galerkin reduced-basis reduced-quadrature method for many-query CFD problems.
AIAA-2021-2716, AIAA Aviation 2021, August 2021.
paper |
doi:10.2514/6.2021-2716
-
K Kumashiro, A Steinberg, and M Yano.
High spatial resolution 3d fluid velocimetry by tomographic particle flow velocimetry.
AIAA-2019-0269, AIAA Scitech 2019 Forum, January 2019.
paper |
doi:10.2514/6.2019-0269
-
Y Maday, AT Patera, JD Penn, and M Yano.
PBDW state estimation: noisy observations; configuration-adaptive background spaces; physical interpretations.
Proceedings SMAI CANUM 2014, Carry-le-Rouet, France, in ESAIM: Proceedings and Surveys, 50:144-168, 2015.
paper | doi:10.1051/proc/201550008
-
DL Darmofal, SR Allmaras, M Yano, and J Kudo.
An adaptive, higher-order discontinuous Galerkin finite element method for aerodynamics.
AIAA-2013-2871, 21st AIAA Computational Fluid Dynamics Conference, June 2013.
paper | doi:10.2514/6.2013-2871
-
M Yano and DL Darmofal.
Anisotropic simplex mesh adaptation by metric optimization for higher-order DG discretizations of 3D compressible flows.
10th World Congress on Computational Mechanics, July 2012.
paper | doi:10.5151/meceng-wccm2012-18538
-
M Yano and DL Darmofal.
An optimization framework for anisotropic simplex mesh adaptation: application to aerodynamic flows.
AIAA-2012-0079, 50th AIAA Aerospace Sciences Meeting, January 2012.
paper | doi:10.2514/6.2012-79
-
M Yano, JM Modisette and DL Darmofal.
The importance of mesh adaptation for high-order discretizations of aerodynamic flows.
AIAA-2011-3852, 20th AIAA Computational Fluid Dynamics Conference, June 2011.
paper |
doi:10.2514/6.2011-3852
-
J Andren, H Gao, M Yano, DL Darmofal, C Ollivier-Gooch, and ZJ Wang.
A comparison of higher-order methods for a set of canonical aerodynamics applications.
AIAA-2011-3230, 20th AIAA Computational Fluid Dynamics Conference, June 2011.
paper |
doi:10.2514/6.2011-3230
-
M Yano and DL Darmofal.
Massively parallel solver for the high-order Galerkin least-squares method.
AIAA-2009-4135, 19th AIAA Computational Fluid Dynamics Conference, June 2009.
paper |
doi:10.2514/6.2009-4135
-
S D Howe, N Barra, J Bess, E Colvin, P Cummings, B Cunningham, M Christ, R Johnson, R O'Brien, J Perkins, K Supak, M Yano.
Using a nuclear rocket to support a lunar outpost: is it cost effective?
Proceedings of the Space Nuclear Conference, American Nuclear Society, June 2007.
-
M Yano, D Palmer, L Williams, and MLR Walker.
Design and operation of an annular helicon plasma source.
AIAA-2007-5309, 43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, July 2007.
paper |
doi:10.2514/6.2007-5309
Technical Reports
-
M Yano and DL Darmofal. ProjectX results
(C1.1 bump;
C1.2 Ringleb;
C1.3 NACA0012;
C1.4 flat plate;
C2.2 RAE2822;
C3.1 MDA high-lift).
1st International
Workshop on High-Order CFD Methods, January 2012.
-
M Yano and DL Darmofal.
On dual-weighted residual error estimates for p-dependent discretizations.
MIT Aerospace Computational Design
Laboratory Technical Report, ACDL TR-11-1, 2011.
Dissertations
-
M Yano.
An Optimization Framework for Adaptive Higher-Order Discretizations of Partial Differential Equations on Anisotropic Simplex Meshes.
Doctoral thesis, Massachusetts Institute of Technology, Aeronautics and Astronautics, May 2012.
-
M Yano.
Massively Parallel Solver for the High-Order Galerkin Least-Squares Method.
Masters thesis, Massachusetts Institute of Technology, Computational for Design and Optimization, May 2009.
Textbook
-
M Yano, JD Penn, G Konidaris and AT Patera.
Math, Numerics, & Programming for Mechanical Engineers, V 1.2, September, 2012.
(OpenCourseWare)