| HIPPYlib: an extensible software framework for large-scale inverse problems governed by PDEs: part I: deterministic inversion and linearized Bayesian inference U Villa, N Petra, O Ghattas ACM Transactions on Mathematical Software (TOMS) 47 (2), 1-34, 2021 | 86 | 2021 |
| Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels A Quaini MODELLING OF PHYSIOLOGICAL FLOWS, 52, 2013 | 64* | 2013 |
| hIPPYlib: An extensible software framework for large-scale inverse problems U Villa, N Petra, O Ghattas Journal of Open Source Software 3 (30), 2018 | 61 | 2018 |
| Accelerometer-based physical activity levels among Mexican adults and their relation with sociodemographic characteristics and BMI: a cross-sectional study D Salvo, C Torres, U Villa, JA Rivera, OL Sarmiento, RS Reis, M Pratt International Journal of Behavioral Nutrition and Physical Activity 12, 1-11, 2015 | 59 | 2015 |
| A mixed formulation for the Brinkman problem P Vassilevski, U Villa SIAM J. Numer. Anal. 52 (1), 258–281, 2014 | 58 | 2014 |
| Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty P Chen, U Villa, O Ghattas Journal of Computational Physics 385, 163-186, 2019 | 52 | 2019 |
| Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs T O’Leary-Roseberry, U Villa, P Chen, O Ghattas Computer Methods in Applied Mechanics and Engineering 388, 114199, 2022 | 50 | 2022 |
| Hessian-based adaptive sparse quadrature for infinite-dimensional Bayesian inverse problems P Chen, U Villa, O Ghattas Computer Methods in Applied Mechanics and Engineering 327, 147-172, 2017 | 48 | 2017 |
| A block-diagonal algebraic multigrid preconditioner for the Brinkman problem PS Vassilevski, U Villa SIAM Journal on Scientific Computing 35 (5), S3-S17, 2013 | 33 | 2013 |
| ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier–Stokes equations A Veneziani, U Villa Journal of Computational Physics 238, 359-375, 2013 | 30 | 2013 |
| 3-D stochastic numerical breast phantoms for enabling virtual imaging trials of ultrasound computed tomography F Li, U Villa, S Park, MA Anastasio IEEE transactions on ultrasonics, ferroelectrics, and frequency control 69 …, 2021 | 29 | 2021 |
| Experiences with target-platform heterogeneity in clouds, grids, and on-premises resources J Slawinski, T Passerini, U Villa, A Veneziani, V Sunderam 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 29 | 2012 |
| A multilevel, hierarchical sampling technique for spatially correlated random fields S Osborn, PS Vassilevski, U Villa SIAM Journal on Scientific Computing 39 (5), S543-S562, 2017 | 27 | 2017 |
| Multifidelity probability estimation via fusion of estimators B Kramer, AN Marques, B Peherstorfer, U Villa, K Willcox Journal of Computational Physics 392, 385-402, 2019 | 24 | 2019 |
| A predictive discrete-continuum multiscale model of plasticity with quantified uncertainty J Tan, U Villa, N Shamsaei, S Shao, HM Zbib, D Faghihi International Journal of Plasticity 138, 102935, 2021 | 23 | 2021 |
| Upscaling of mixed finite element discretization problems by the spectral AMGe method DZ Kalchev, CS Lee, U Villa, Y Efendiev, PS Vassilevski SIAM Journal on Scientific Computing 38 (5), A2912-A2933, 2016 | 20 | 2016 |
| Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty O Babaniyi, R Nicholson, U Villa, N Petra The Cryosphere 15 (4), 1731-1750, 2021 | 19 | 2021 |
| Scalable hierarchical PDE sampler for generating spatially correlated random fields using nonmatching meshes S Osborn, P Zulian, T Benson, U Villa, R Krause, PS Vassilevski Numerical Linear Algebra with Applications 25 (3), e2146, 2018 | 18 | 2018 |
| Nonlinear multigrid solvers exploiting AMGe coarse spaces with approximation properties M la Cour Christensen, PS Vassilevski, U Villa Journal of Computational and Applied Mathematics 340, 691-708, 2018 | 14 | 2018 |
| A data scalable augmented Lagrangian KKT preconditioner for large-scale inverse problems N Alger, U Villa, T Bui-Thanh, O Ghattas SIAM Journal on Scientific Computing 39 (5), A2365-A2393, 2017 | 14 | 2017 |
Omar GhattasProfessor & Pratt endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at Austin在 ices.utexas.edu 的电子邮件经过验证
