Michael D. Shields

Citirano

	Sve	Od 2020.
Citati	3201	2553
H-indeks	29	26
i10-indeks	63	60

760

380

190

570

201320142015201620172018201920202021202220232024202521 29 57 82 86 159 184 232 298 457 590 759 217

Javni pristup

Prikaži sve

42 članka

4 članka

dostupno

nije dostupno

Na temelju uvjeta financiranja

Suautori

Dimitris G GiovanisAssistant Research Professor, John Hopkins University, Civil EngineeringPotvrđena adresa e-pošte na jhu.edu
Jiaxin ZhangIntuit AI Research; Oak Ridge National Lab; Johns Hopkins UniversityPotvrđena adresa e-pošte na intuit.com
George DeodatisProfessor of Civil Engineering and Engineering Mechanics, Columbia UniversityPotvrđena adresa e-pošte na civil.columbia.edu
Katiana KontolatiPhD, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Lohit VandanapuPhD Candidate, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Somayajulu L. N. DhulipalaComputational Scientist, Idaho National LabPotvrđena adresa e-pošte na inl.gov
Somdatta GoswamiAssistant Professor, Civil and Systems Engineering, Johns Hopkins UniversityPotvrđena adresa e-pošte na jh.edu
Lori Graham-BradyJohns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Sundar VelkurSr Data Scientist, Topgolf Callaway BrandsPotvrđena adresa e-pošte na callawaygolf.com
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringPotvrđena adresa e-pošte na brown.edu
Promit ChakrobortyPh.D. Student, Dept of Civil and Systems Engg., Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Michael L. FalkProfessor of Materials Science and Engineering, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Dimitrios LoukrezisResearch scientist, Siemens AG | Research group leader, TU DarmstadtPotvrđena adresa e-pošte na temf.tu-darmstadt.de
Raymond DaddazioThornton TomasettiPotvrđena adresa e-pošte na thorntontomasetti.com
Kirubel TeferraU.S. Naval Research LaboratoryPotvrđena adresa e-pošte na nrl.navy.mil
Audrey OlivierAssistant Professor of Civil and Environmental Engineering, USCPotvrđena adresa e-pošte na usc.edu
Pawel WoelkeThornton Tomasetti / Columbia UniversityPotvrđena adresa e-pošte na thorntontomasetti.com
Hwanpyo KimJohns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Paolo BocchiniProfessor and Director of the Center for Catastrophe Modeling and Resilience, Lehigh UniversityPotvrđena adresa e-pošte na lehigh.edu
Benjamin SpencerIdaho National LaboratoryPotvrđena adresa e-pošte na inl.gov

Prati

Michael D. Shields

Johns Hopkins University

Potvrđena adresa e-pošte na jhu.edu - Početna stranica

uncertainty quantification computational mechanics stochastic processes


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
The generalization of Latin hypercube sampling MD Shields, J Zhang Reliability Engineering & System Safety 148, 96-108, 2016	507	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	194	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	142	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	126	2021
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	122	2022
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	106	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	98	2015
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	88	2020
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	88	2013
Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes MD Shields, G Deodatis Computers & Structures 126, 149-163, 2013	74	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	70	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	59	2013
Surrogate-enhanced stochastic search algorithms to identify implicitly defined functions for reliability analysis VS Sundar, MD Shields Structural Safety 62, 1-11, 2016	55	2016
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	54	2020
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	53	2017
Coarse graining atomistic simulations of plastically deforming amorphous solids AR Hinkle, CH Rycroft, MD Shields, ML Falk Physical Review E 95 (5), 053001, 2017	52	2017
On the influence of over-parameterization in manifold based surrogates and deep neural operators K Kontolati, S Goswami, MD Shields, GE Karniadakis Journal of Computational Physics 479, 112008, 2023	51	2023
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields Journal of Computational Physics 464, 111313, 2022	50	2022
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	49	2021
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models K Kontolati, D Loukrezis, KRM dos Santos, DG Giovanis, MD Shields International Journal for Uncertainty Quantification 12 (4), 2022	45	2022

Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.

Članci 1–20

Godišnji broj citata

Dvostruki navodi

Spojeni navodi

Dodavanje suautoraSuautori

Prati

Citirano

Suautori