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Andrew M. Stuart

University of Edinburgh

67H指数
488论文数
1.9W被引数
收录论文 36
发表时间
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A Neural-Network Framework to Learn History-Dependent Constitutive Laws and Identifiability of Internal Variables基于神经网络的框架学习历史依赖本构定律及内部变量的可辨识性
errJournal of the Mechanics and Physics of Solids
IF6
err2026-08-08
err0
PREAI
errMayank Raj; Lianghao Cao; Andrew Stuart; Kaushik Bhattacharya
err分享
err收藏
Efficient Deconvolution in Populational Inverse Problems群体逆问题中的高效反卷积
errInternational Journal for Numerical Methods in Engineering
IF2.9
err2026-05-04
err0
errOAAI
errArnaud Vadeboncoeur; Mark Girolami; Andrew M. Stuart
err分享
err收藏
Optimal experimental design for reliable learning of history-dependent constitutive laws用于可靠学习历史相关本构定律的最优实验设计
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2026-04-25
err0
PREAI
errKaushik Bhattacharya; Lianghao Cao; Andrew Stuart
err分享
err收藏
Systemic review of the relative age effect in Scottish schooling: a public health imperative for policy reform and equity苏格兰教育体系中相对年龄效应的系统综述：政策改革和公平性的公共卫生迫切性
errBMJ Public Health
IF0
err2026-04-10
err0
PREAI
errStuart, Andrew; Lynch, Timothy; Hamilton, Xiaofen; Goff, Wendy; Liu, Qing
err分享
err收藏
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.
err分享
err收藏
ACCURACY OF THE ENSEMBLE KALMAN FILTER IN THE NEAR-LINEAR SETTING集合卡尔曼滤波器在线性近邻设置中的精度
errSIAM Journal on Numerical Analysis
IF2.9
err2026-01-01
err0
PREAI
errCalvello, E.; Monmarche, P.; Stuart, A. M.; Vaes, U.
err分享
err收藏
Learning Enhanced Ensemble Filters学习增强型集成滤波器
errJournal of Computational Physics
IF3.8
err2025-12-04
err0
PREAI
errEviatar Bach; Ricardo Baptista; Edoardo Calvello; Bohan Chen; Andrew Stuart
err分享
err收藏
Ensemble Kalman methods: A mean-field perspective
errACTA NUMERICA
IF11.3
err2025-07-01
err3
errOAAI
errCalvello, Edoardo; Reich, Sebastian; Stuart, Andrew M.
err分享
err收藏
Contextual computation by competitive protein dimerization networks基于竞争性蛋白质二聚化网络的情境计算
errCELL
IF42.5
err2025-02-01
err0
errOAAI
errParres-Gold, Jacob; Levine, Matthew; Emert, Benjamin; Stuart, Andrew; Elowitz, Michael B.
err分享
err收藏
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.
err分享
err收藏
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
err分享
err收藏
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.
err分享
err收藏
Harnessing AI and computing to advance climate modelling and prediction利用人工智能和计算来推进气候建模和预测
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
err分享
err收藏
Learning macroscopic internal variables and history dependence from microscopic models从微观模型中学习宏观内部变量和历史依赖性
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
err分享
err收藏
Ensemble Kalman inversion for sparse learning of dynamical systems from time-averaged data用于从时间平均数据对动力系统进行稀疏学习的集合卡尔曼反演
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-12-01
err18
errOAAI
errSchneider, Tapio; Stuart, Andrew M.; Wu, Jin-Long
err分享
err收藏
Iterated Kalman methodology for inverse problems反问题的迭代卡尔曼方法
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-08-01
err33
errOAAI
errHuang, Daniel Zhengyu; Schneider, Tapio; Stuart, Andrew M.
err分享
err收藏
Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization材料的多尺度建模: 计算，数据科学，不确定性和面向目标的优化
errMECHANICS OF MATERIALS
IF4.1
err2022-02-01
err27
errOAAI
errKovachki, Nikola; Liu, Burigede; Sun, Xingsheng; Zhou, Hao; Bhattacharya, Kaushik; Ortiz, Michael; Stuart, Andrew
err分享
err收藏
A learning-based multiscale method and its application to inelastic impact problems基于学习的多尺度方法及其在非弹性撞击问题中的应用
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
err分享
err收藏
Solving and learning nonlinear PDEs with Gaussian processes
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-12-01
err70
errOAAI
errChen, Yifan; Hosseini, Bamdad; Owhadi, Houman; Stuart, Andrew M.
err分享
err收藏
Calibrate, emulate, sample
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-01-01
err63
errOAAI
errCleary, Emmet; Garbuno-Inigo, Alfredo; Lan, Shiwei; Schneider, Tapio; Stuart, Andrew M.
err分享
err收藏

研究方向

暂无研究方向
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