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D

Dimitris G. Giovanis

johns hopkins university

17H-index
63Paper Count
1.2KCitation Count
Published Papers 28
Publication Date
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Enabling probabilistic learning on manifolds through double diffusion maps
errJournal of Computational Physics
IF3.8
err2026-01-09
err0
PREAI
errDimitris G. Giovanis; Nikolaos Evangelou; Ioannis G. Kevrekidis; Roger G. Ghanem
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Generative learning for slow manifolds and bifurcation diagrams
errComputers & Chemical Engineering
IF3.9
err2025-12-30
err0
PREAI
errEllis R. Crabtree; Dimitris G. Giovanis; Nikolaos Evangelou; Juan M. Bello-Rivas; Ioannis G. Kevrekidis
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Neural operators for stochastic modeling of nonlinear structural system response to natural hazards
errEngineering Structures
IF6.4
err2025-09-25
err0
PREAI
errSomdatta Goswami; Dimitris G. Giovanis; Bowei Li; Seymour M.J. Spence; Michael D. Shields
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UQpy Version 4.2: Uncertainty quantification with Python
errSOFTWAREX
IF2.4
err2025-09-01
err0
errOAAI
errKrill, Connor; Thiagarajan, Ponkrshnan; Pasparakis, George D.; Goswami, Somdatta; Tsapetis, Dimitrios; Giovanis, Dimitris G.; Shields, Michael D.
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Generative learning of densities on manifolds
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-07-30
err0
PREAI
errDimitris G. Giovanis; Ellis Crabtree; Roger G. Ghanem; Ioannis G. Kevrekidis
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Implementing NLP in industrial process modeling: Addressing categorical variables
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2025-05-15
err0
errOAAI
errKoronaki, Eleni D.; Loachamin-Suntaxi, Geremy; Papavasileiou, Paris; Giovanis, Dimitrios G.; Kathrein, Martin; Czettl, Christoph; Boudouvis, Andreas G.; Bordas, Stephane P. A.
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Integrating supervised and unsupervised learning approaches to unveil critical process inputs
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2025-01-01
err1
errOAAI
errPapavasileiou, Paris; Giovanis, Dimitrios G.; Pozzetti, Gabriele; Kathrein, Martin; Czettl, Christoph; Kevrekidis, Ioannis G.; Boudouvis, Andreas G.; Bordas, Stephane P. A.; Koronaki, Eleni D.
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Accelerating uncertainty quantification in incremental dynamic analysis using dimension reduction-based surrogate modeling
errBULLETIN OF EARTHQUAKE ENGINEERING
IF4.1
err2024-12-11
err0
PREAI
errGiovanis, Dimitris G.; Taflanidis, Alexandros; Shields, Michael D.
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Polynomial chaos expansions on principal geodesic Grassmannian submanifolds for surrogate modeling and uncertainty
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-12-01
err0
PREAI
errGiovanis, Dimitris G.; Loukrezis, Dimitrios; Kevrekidis, Ioannis G.; Shields, Michael D.
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Discovering deposition process regimes: Leveraging unsupervised learning for process insights, surrogate modeling, and sensitivity analysis
errCHEMICAL ENGINEERING JOURNAL ADVANCES
IF7.1
err2024-11-01
err0
errOAAI
errLoachamin-Suntaxi, Geremy; Papavasileiou, Paris; Koronaki, Eleni D.; Giovanis, Dimitrios G.; Gakis, Georgios; Aviziotis, Ioannis G.; Kathrein, Martin; Pozzetti, Gabriele; Czettl, Christoph; Bordas, Stephane P. A.; Boudouvis, Andreas G.
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Revealing the hidden structure of disordered materials by parameterizing their local structural manifold
errNATURE COMMUNICATIONS
IF15.7
err2024-05-24
err0
errOAAI
errHardin, Thomas J.; Chandross, Michael; Meena, Rahul; Fajardo, Spencer; Giovanis, Dimitris; Kevrekidis, Ioannis; Falk, Michael L.; Shields, Michael D.
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A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-09-01
err24
errOAAI
errKontolati, Katiana; Loukrezis, Dimitrios; Giovanis, Dimitrios G.; Vandanapu, Lohit; Shields, Michael D.
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Data-driven uncertainty quantification in computational human head models
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-08-01
err11
errOAAI
errUpadhyay, Kshitiz; Giovanis, Dimitris G.; Alshareef, Ahmed; Knutsen, Andrew K.; Johnson, Curtis L.; Carass, Aaron; Bayly, Philip, V; Shields, Michael D.; Ramesh, K. T.
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Imprecise subset simulation
errPROBABILISTIC ENGINEERING MECHANICS
IF3.5
err2022-07-01
err4
errOAAI
errGiovanis, Dimitrios G.; Shields, Michael D.
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GRASSMANNIAN DIFFUSION MAPS-BASED DIMENSION REDUCTION AND CLASSIFICATION FOR HIGH-DIMENSIONAL DATA
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2022-03-15
err9
errOAAI
errDos Santos, Ketson R.; Giovanis, Dimitrios G.; Shields, Michael D.
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Subset simulation for problems with strongly non-Gaussian, highly anisotropic, and degenerate distributions
errCOMPUTERS & STRUCTURES
IF4.8
err2021-03-01
err20
PREAI
errShields, Michael D.; Giovanis, Dimitris G.; Sundar, V. S.
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UQpy: A general purpose Python package and development environment for uncertainty quantification
errnature computational science
IF3.7
err2020-11-01
err52
errOAAI
errOlivier, Audrey; Giovanis, Dimitris G.; Aakash, B. S.; Chauhan, Mohit; Vandanapu, Lohit; Shields, Michael D.
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Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2020-10-01
err41
errOAAI
errGiovanis, D. G.; Shields, M. D.
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A spectral stochastic formulation for nonlinear framed structures
errPROBABILISTIC ENGINEERING MECHANICS
IF3.5
err2019-01-01
err5
PREAI
errPapadopoulos, Vissarion; Kalogeris, Ioannis; Giovanis, Dimitris G.
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A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites
errCOMPUTATIONAL MECHANICS
IF3.8
err2018-10-11
err139
PREAI
errLu, Xiaoxin; Giovanis, Dimitris G.; Yvonnet, Julien; Papadopoulos, Vissarion; Detrez, Fabrice; Bai, Jinbo
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Research Directions

No research directions
Co-authors
Cooperation Journals
S
Stéphane Bordas
H-index: 78 · Papers: 708
K
K.T. Ramesh
H-index: 70 · Papers: 469
I
Ioannis G. Kevrekidis
H-index: 69 · Papers: 633
R
Roger Ghanem
H-index: 64 · Papers: 413
P
Philip V. Bayly
H-index: 58 · Papers: 367
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