Michael D. Shields

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	Hepsi	2020 yılından bugüne
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Genel erişim

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42 makale

4 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Dimitris G GiovanisAssistant Research Professor, John Hopkins University, Civil Engineeringjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Jiaxin ZhangIntuit AI Research; Oak Ridge National Lab; Johns Hopkins Universityintuit.com üzerinde doğrulanmış e-posta adresine sahip
Katiana KontolatiPhD, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
George DeodatisProfessor of Civil Engineering and Engineering Mechanics, Columbia Universitycivil.columbia.edu üzerinde doğrulanmış e-posta adresine sahip
Lohit VandanapuPhD Candidate, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Somayajulu L. N. DhulipalaComputational Scientist, Idaho National Labinl.gov üzerinde doğrulanmış e-posta adresine sahip
Somdatta GoswamiAssistant Professor, Civil and Systems Engineering, Johns Hopkins Universityjh.edu üzerinde doğrulanmış e-posta adresine sahip
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineeringbrown.edu üzerinde doğrulanmış e-posta adresine sahip
Lori Graham-BradyJohns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Sundar VelkurSr Data Scientist, Topgolf Callaway Brandscallawaygolf.com üzerinde doğrulanmış e-posta adresine sahip
Promit ChakrobortyPh.D. Student, Dept of Civil and Systems Engg., Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Michael L. FalkProfessor of Materials Science and Engineering, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Raymond DaddazioThornton Tomasettithorntontomasetti.com üzerinde doğrulanmış e-posta adresine sahip
Kirubel TeferraU.S. Naval Research Laboratorynrl.navy.mil üzerinde doğrulanmış e-posta adresine sahip
Dimitrios LoukrezisResearch scientist, Siemens AG | Research group leader, TU Darmstadttemf.tu-darmstadt.de üzerinde doğrulanmış e-posta adresine sahip
Audrey OlivierAssistant Professor of Civil and Environmental Engineering, USCusc.edu üzerinde doğrulanmış e-posta adresine sahip
Pawel WoelkeThornton Tomasetti / Columbia Universitythorntontomasetti.com üzerinde doğrulanmış e-posta adresine sahip
Hwanpyo KimJohns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip
Paolo BocchiniProfessor and Director of the Center for Catastrophe Modeling and Resilience, Lehigh Universitylehigh.edu üzerinde doğrulanmış e-posta adresine sahip
Benjamin SpencerIdaho National Laboratoryinl.gov üzerinde doğrulanmış e-posta adresine sahip

Takip et

Michael D. Shields

Johns Hopkins University

jhu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

uncertainty quantification computational mechanics stochastic processes


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
The generalization of Latin hypercube sampling MD Shields, J Zhang Reliability Engineering & System Safety 148, 96-108, 2016	502	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	128	2021
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	107	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
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	93	2022
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	90	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	89	2020
Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes MD Shields, G Deodatis Computers & Structures 126, 149-163, 2013	73	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	53	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	53	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	50	2023
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
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	48	2022
Simulation of spatially correlated nonstationary response spectrum–compatible ground motion time histories MD Shields Journal of Engineering Mechanics 141 (6), 04014161, 2015	44	2015

Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.

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