| Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data Y Zhu, N Zabaras, PS Koutsourelakis, P Perdikaris Journal of Computational Physics 394, 56-81, 2019 | 1076 | 2019 |
| A critical appraisal of reliability estimation procedures for high dimensions GI Schueller, HJ Pradlwarter, PS Koutsourelakis Probabilistic engineering mechanics 19 (4), 463-474, 2004 | 596 | 2004 |
| Reliability of structures in high dimensions, part I: algorithms and applications PS Koutsourelakis, HJ Pradlwarter, GI Schueller Probabilistic Engineering Mechanics 19 (4), 409-417, 2004 | 473 | 2004 |
| Application of line sampling simulation method to reliability benchmark problems HJ Pradlwarter, GI Schueller, PS Koutsourelakis, DC Charmpis Structural safety 29 (3), 208-221, 2007 | 325 | 2007 |
| Risk Assessment of interacting soil-structure system due to liquefaction PS KOUTSOURELAKIS, JH PRÉVOST, G DEODATIS Earthquake Engineering and Structural Dynamics 31 (4), 851-879., 2002 | 146 | 2002 |
| Assessing structural vulnerability against earthquakes using multi-dimensional fragility surfaces: A Bayesian framework PS Koutsourelakis Probabilistic Engineering Mechanics 25 (1), 49-60, 2010 | 143 | 2010 |
| The TRIC shell element: theoretical and numerical investigation JH Argyris, M Papadrakakis, C Apostolopoulou, S Koutsourelakis Computer Methods in Applied Mechanics and Engineering 182 (1-2), 217-245, 2000 | 96 | 2000 |
| A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters PS Koutsourelakis Journal of computational physics 228 (17), 6184-6211, 2009 | 86 | 2009 |
| Accurate uncertainty quantification using inaccurate computational models PS Koutsourelakis SIAM Journal on Scientific Computing 31 (5), 3274-3300, 2009 | 83 | 2009 |
| Model-based structural health monitoring of naval ship hulls CJ Stull, CJ Earls, PS Koutsourelakis Computer Methods in Applied Mechanics and Engineering 200 (9-12), 1137-1149, 2011 | 62 | 2011 |
| A comparative study of reliability estimation procedures for high dimensions GI Schuëller, HJ Pradlwarter, PS Koutsourelakis 16th ASCE Engineering mechanics conference, 16-18, 2003 | 62 | 2003 |
| Free energy computations by minimization of Kullback–Leibler divergence: An efficient adaptive biasing potential method for sparse representations I Bilionis, PS Koutsourelakis Journal of Computational Physics 231 (9), 3849-3870, 2012 | 58 | 2012 |
| Reliability of structures in high dimensions. Part II. Theoretical validation PS Koutsourelakis Probabilistic engineering mechanics 19 (4), 419-423, 2004 | 56 | 2004 |
| Fast uncertainty quantification of activation sequences in patient‐specific cardiac electrophysiology meeting clinical time constraints A Quaglino, S Pezzuto, PS Koutsourelakis, A Auricchio, R Krause International Journal for Numerical Methods in Biomedical Engineering, https …, 2018 | 51 | 2018 |
| Predictive Coarse-Graining M Schöberl, PS Koutsourelakis, N Zabaras Journal of Computational Physics 333 (15 March 2017), 49-77, 2016 | 48 | 2016 |
| Stochastic upscaling in solid mechanics: An excercise in machine learning PS Koutsourelakis Journal of Computational Physics 226 (1), 301-325, 2007 | 47 | 2007 |
| Simulation of binary random fields with applications to two-phase random media PS Koutsourelakis, G Deodatis Journal of Engineering Mechanics 131 (4), 397-412, 2005 | 47 | 2005 |
| A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography PS Koutsourelakis International Journal for Numerical Methods in Engineering 91 (3), 249-268, 2012 | 46 | 2012 |
| Predictive Collective Variable Discovery with Deep Bayesian Models M Schöberl, N Zabaras, PS Koutsourelakis The Journal of Chemical Physics 150 (2), 024109, 2019 | 39 | 2019 |
| Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems S Kaltenbach, PS Koutsourelakis Journal of Computational Physics, 2020 | 38 | 2020 |
Nicholas ZabarasProfessor, Cornell Universityبريد إلكتروني تم التحقق منه على nd.edu
