| The generalization of Latin hypercube sampling MD Shields, J Zhang Reliability Engineering & System Safety 148, 96-108, 2016 | 429 | 2016 |
| A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process MD Shields, G Deodatis, P Bocchini Probabilistic Engineering Mechanics 26 (4), 511-519, 2011 | 186 | 2011 |
| Refined stratified sampling for efficient Monte Carlo based uncertainty quantification MD Shields, K Teferra, A Hapij, RP Daddazio Reliability Engineering and System Safety 142, 310-325, 2015 | 133 | 2015 |
| On the quantification and efficient propagation of imprecise probabilities resulting from small datasets J Zhang, MD Shields Mechanical Systems and Signal Processing 98, 465-483, 2018 | 98 | 2018 |
| Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion H Kim, MD Shields Computers & Structures 161, 31-42, 2015 | 90 | 2015 |
| Bayesian neural networks for uncertainty quantification in data-driven materials modeling A Olivier, MD Shields, L Graham-Brady Computer Methods in Applied Mechanics and Engineering 386, 114079, 2021 | 89 | 2021 |
| A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic vector process by a translation process with applications in wind velocity simulation MD Shields, G Deodatis Probabilistic Engineering Mechanics 31, 19-29, 2013 | 86 | 2013 |
| UQpy: A general purpose Python package and development environment for uncertainty quantification A Olivier, D Giovanis, BS Aakash, M Chauhan, L Vandanapu, MD Shields Journal of Computational Science 47, 101204, 2020 | 72 | 2020 |
| Deep transfer operator learning for partial differential equations under conditional shift S Goswami, K Kontolati, MD Shields, GE Karniadakis Nature Machine Intelligence 4 (12), 1155-1164, 2022 | 65 | 2022 |
| Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes MD Shields, G Deodatis Computers & Structures 126, 149-163, 2013 | 65 | 2013 |
| Cohesive zone modeling and calibration for mode I tearing of large ductile plates PB Woelke, MD Shields, JW Hutchinson Engineering Fracture Mechanics 147, 293-305, 2015 | 64 | 2015 |
| Simulations of ductile fracture in an idealized ship grounding scenario using phenomenological damage and cohesive zone models PB Woelke, MD Shields, NN Abboud, JW Hutchinson Computational Materials Science 80, 79-95, 2013 | 58 | 2013 |
| Surrogate-enhanced stochastic search algorithms to identify implicitly defined functions for reliability analysis VS Sundar, MD Shields Structural Safety 62, 1-11, 2016 | 52 | 2016 |
| Coarse graining atomistic simulations of plastically deforming amorphous solids AR Hinkle, CH Rycroft, MD Shields, ML Falk Physical Review E 95 (5), 053001, 2017 | 50 | 2017 |
| Topology optimization for linear stationary stochastic dynamics: Applications to frame structures M Zhu, Y Yang, JK Guest, MD Shields Structural Safety 67, 116-131, 2017 | 47 | 2017 |
| Variance-based adaptive sequential sampling for Polynomial Chaos Expansion L Novák, M Vořechovský, V Sadílek, MD Shields Computer Methods in Applied Mechanics and Engineering 386, 114105, 2021 | 43 | 2021 |
| Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold DG Giovanis, MD Shields Computer Methods in Applied Mechanics and Engineering 370, 113269, 2020 | 43 | 2020 |
| Simulation of spatially correlated nonstationary response spectrum–compatible ground motion time histories MD Shields Journal of Engineering Mechanics 141 (6), 04014161, 2015 | 42 | 2015 |
| Reliability analysis using adaptive kriging surrogates with multimodel inference VS Sundar, MD Shields ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2019 | 40 | 2019 |
| The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets J Zhang, MD Shields Computer Methods in Applied Mechanics and Engineering 334, 483-506, 2018 | 39 | 2018 |
Dimitris G GiovanisAssistant Research Professor, John Hopkins University, Civil Engineering在 jhu.edu 的电子邮件经过验证
