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Andrew M. Stuart

University of California San Diego

67H-index
490Paper Count
1.9WCitation Count
Published Papers 38
Publication Date
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A Neural-Network Framework to Learn History-Dependent Constitutive Laws and Identifiability of Internal Variables
errJournal of the Mechanics and Physics of Solids
IF6
err2026-08-08
err0
PREAI
errMayank Raj; Lianghao Cao; Andrew Stuart; Kaushik Bhattacharya
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Distributional inverse homogenization
errJournal of the Mechanics and Physics of Solids
IF6
err2026-08-01
err0
PREAI
errVadeboncoeur, Arnaud; Girolami, Mark; Bhattacharya, Kaushik; Stuart, Andrew M.
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Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks
errJournal of Computational Physics
IF3.8
err2026-06-01
err0
PREAI
errZhou, Xu-Hui; Beronilla, Lorenzo; Sleeman, Michael K.; Hu, Hangchuan; Morzfeld, Matthias; Stuart, Andrew M.; Zaki, Tamer A.
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errSave
Efficient Deconvolution in Populational Inverse Problems
errInternational Journal for Numerical Methods in Engineering
IF2.9
err2026-05-04
err0
errOAAI
errArnaud Vadeboncoeur; Mark Girolami; Andrew M. Stuart
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errSave
Optimal experimental design for reliable learning of history-dependent constitutive laws
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2026-04-25
err0
PREAI
errKaushik Bhattacharya; Lianghao Cao; Andrew Stuart
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errSave
Systemic review of the relative age effect in Scottish schooling: a public health imperative for policy reform and equity
errBMJ Public Health
IF0
err2026-04-10
err0
errOAAI
errStuart, Andrew; Lynch, Timothy; Hamilton, Xiaofen; Goff, Wendy; Liu, Qing
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errSave
Data assimilation in machine-learned reduced-order model of chaotic earthquake sequences
errGEOPHYSICAL JOURNAL INTERNATIONAL
IF2.7
err2026-01-22
err0
errOAAI
errKaveh, Hojjat; Avouac, Jean Philippe; Stuart, Andrew M.
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errSave
ACCURACY OF THE ENSEMBLE KALMAN FILTER IN THE NEAR-LINEAR SETTING
errSIAM Journal on Numerical Analysis
IF2.9
err2026-01-01
err0
PREAI
errCalvello, E.; Monmarche, P.; Stuart, A. M.; Vaes, U.
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errSave
Learning Enhanced Ensemble Filters
errJournal of Computational Physics
IF3.8
err2025-12-04
err0
PREAI
errEviatar Bach; Ricardo Baptista; Edoardo Calvello; Bohan Chen; Andrew Stuart
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errSave
Ensemble Kalman methods: A mean-field perspective
errACTA NUMERICA
IF11.3
err2025-07-01
err3
errOAAI
errCalvello, Edoardo; Reich, Sebastian; Stuart, Andrew M.
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errSave
Contextual computation by competitive protein dimerization networks
errCELL
IF42.5
err2025-02-01
err0
errOAAI
errParres-Gold, Jacob; Levine, Matthew; Emert, Benjamin; Stuart, Andrew; Elowitz, Michael B.
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errSave
Error analysis of kernel/GP methods for nonlinear and parametric PDEs
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2025-01-01
err1
errOAAI
errBatlle, Pau; Chen, Yifan; Hosseini, Bamdad; Owhadi, Houman; Stuart, Andrew M.
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errSave
Learning about structural errors in models of complex dynamical systems
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-09-01
err5
errOAAI
errWu, Jin-Long; Levine, Matthew E.; Schneider, Tapio; Stuart, Andrew
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errSave
Operator Learning Using Random Features: A Tool for Scientific Computing
errSIAM REVIEW
IF6.1
err2024-08-08
err2
PREAI
errNelsen, Nicholas H.; Stuart, Andrew M.
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errSave
Harnessing AI and computing to advance climate modelling and prediction
errNATURE CLIMATE CHANGE
IF27.1
err2023-09-05
err20
errOAAI
errSchneider, Tapio; Behera, Swadhin; Boccaletti, Giulio; Deser, Clara; Emanuel, Kerry; Ferrari, Raffaele; Leung, L. Ruby; Lin, Ning; Mueller, Thomas; Navarra, Antonio; Ndiaye, Ousmane; Stuart, Andrew; Tribbia, Joseph; Yamagata, Toshio
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errSave
Learning macroscopic internal variables and history dependence from microscopic models
errJOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF6
err2023-09-01
err16
errOAAI
errLiu, Burigede; Ocegueda, Eric; Trautner, Margaret; Stuart, Andrew M.; Bhattacharya, Kaushik
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errSave
Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-12-01
err18
errOAAI
errSchneider, Tapio; Stuart, Andrew M.; Wu, Jin-Long
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errSave
Iterated Kalman methodology for inverse problems
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-08-01
err33
errOAAI
errHuang, Daniel Zhengyu; Schneider, Tapio; Stuart, Andrew M.
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errSave
Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization
errMECHANICS OF MATERIALS
IF4.1
err2022-02-01
err27
errOAAI
errKovachki, Nikola; Liu, Burigede; Sun, Xingsheng; Zhou, Hao; Bhattacharya, Kaushik; Ortiz, Michael; Stuart, Andrew
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errSave
A learning-based multiscale method and its application to inelastic impact problems
errJOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF6
err2022-01-01
err38
errOAAI
errLiu, Burigede; Kovachki, Nikola; Li, Zongyi; Azizzadenesheli, Kamyar; Anandkumar, Anima; Stuart, Andrew M.; Bhattacharya, Kaushik
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Research Directions

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Co-authors
Cooperation Journals
K
Kerry Emanuel
H-index: 117 · Papers: 822
L
L. Ruby Leung
H-index: 115 · Papers: 1.4K
C
Clara Deser
H-index: 104 · Papers: 391
J
Jean‐Philippe Avouac
H-index: 103 · Papers: 641
T
Toshio Yamagata
H-index: 98 · Papers: 399
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