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Alexandre M. Tartakovsky

University of Illinois Urbana Champaign

44H指数
326论文数
7.9K被引数
收录论文 77
发表时间
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VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential EquationsVAE-DNN：用于参数化偏微分方程的节能分步训练代理模型
errJournal of Computational Physics
IF3.8
err2026-09-09
err0
errOAAI
errYifei Zong; Xue Tong; Alexandre Tartakovsky
err分享
err收藏
Mathematics of digital twins and transfer learning for systems governed by PDE models数字孪生与偏微分方程模型系统迁移学习的数学研究
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-10-21
err0
errOAAI
errYifei Zong; Alexandre M. Tartakovsky
err分享
err收藏
Stochastic load frequency control of power systems via Gaussian processes基于高斯过程的电力系统随机负荷频率控制
errInternational Journal of Control
IF1.6
err2025-10-01
err0
PREAI
errMa, Tong; Barajas-Solano, David Alonso; Tartakovsky, Alexandre M.
err分享
err收藏
Total Uncertainty Quantification in Inverse Solutions with Deep Learning Surrogate Models基于深度学习代理模型反演解的全不确定性量化
errJournal of Computational Physics
IF3.8
err2025-08-25
err0
errOAAI
errYuanzhe Wang; James L. McCreight; Joseph D. Hughes; Alexandre M. Tartakovsky
err分享
err收藏
Karhunen–Loève deep learning method for surrogate modeling and approximate Bayesian parameter estimationKarhunen–Loève深度学习方法用于代理建模和近似贝叶斯参数估计
errAdvances in Water Resources
IF4.2
err2025-06-16
err0
errOAAI
errYuanzhe Wang; Yifei Zong; James L. McCreight; Joseph D. Hughes; Michael Fienen; Alexandre M. Tartakovsky
err分享
err收藏
Randomized physics-informed machine learning for uncertainty quantification in high-dimensional inverse problems用于高维逆问题中不确定性量化的随机物理通知机器学习
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-12-01
err0
errOAAI
errZong, Yifei; Barajas-Solano, David; Tartakovsky, Alexandre M.
err分享
err收藏
Bayesian reduced-order deep learning surrogate model for dynamic systems described by partial differential equations
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-09-01
err2
errOAAI
errWang, Yuanzhe; Zong, Yifei; Mccreight, James L.; Hughes, Joseph D.; Tartakovsky, Alexandre M.
err分享
err收藏
A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach基于深度学习的地质碳储量三维状态变量快速预测工作流: 降维方法
errJOURNAL OF HYDROLOGY
IF6.3
err2024-06-01
err3
PREAI
errWang, Hongsheng; Hosseini, Seyyed A.; Tartakovsky, Alexandre M.; Leng, Jianqiao; Fan, Ming
err分享
err收藏
Gaussian process regression and conditional Karhunen-Loeve models for data assimilation in inverse problems高斯过程回归和条件karhunen-loeve模型，用于反问题中的数据同化
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-04-01
err0
errOAAI
errYeung, Yu-Hong; Barajas-Solano, David A.; Tartakovsky, Alexandre M.
err分享
err收藏
Physics-informed machine learning method with space-time Karhunen-Loève expansions for forward and inverse partial differential equations具有正向和反向偏微分方程的时空karhunen-loève展开的物理通知机器学习方法
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-02-01
err3
PREAI
errTartakovsky, Alexandre M.; Zong, Yifei
err分享
err收藏
Conditional Karhunen-Loève regression model with Basis Adaptation for high-dimensional problems: Uncertainty quantification and inverse modeling
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-01-01
err1
errOAAI
errYeung, Yu-Hong; Tipireddy, Ramakrishna; Barajas-Solano, David A.; Tartakovsky, Alexandre M.
err分享
err收藏
Improved training of physics-informed neural networks for parabolic differential equations with sharply perturbed initial conditions
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2023-09-01
err13
errOAAI
errZong, Yifei; He, QiZhi; Tartakovsky, Alexandre M.
err分享
err收藏
Physics-informed Gaussian process regression for states estimation and forecasting in power grids用于电网状态估计和预测的物理通知高斯过程回归
errINTERNATIONAL JOURNAL OF FORECASTING
IF7.1
err2023-04-01
err5
errOAAI
errTartakovsky, Alexandre M.; Ma, Tong; Barajas-Solano, David A.; Tipireddy, Ramakrishna
err分享
err收藏
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery用于钒氧化还原液流电池建模的增强物理约束深度神经网络
errJOURNAL OF POWER SOURCES
IF7.9
err2022-09-01
err8
errOAAI
errHe, QiZhi; Fu, Yucheng; Stinis, Panos; Tartakovsky, Alexandre
err分享
err收藏
Physics-informed Karhunen-Lo?ve and neural network approximations for solving inverse differential equation problems物理知识的karhunen-lo？ve和神经网络逼近，用于解决逆微分方程问题
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-08-01
err6
errOAAI
errLi, Jing; Tartakovsky, Alexandre M.
err分享
err收藏
Physics-constrained deep neural network method for estimating parameters in a redox flow battery
errJOURNAL OF POWER SOURCES
IF7.9
err2022-04-01
err26
errOAAI
errHe, QiZhi; Stinis, Panos; Tartakovsky, Alexandre M.
err分享
err收藏
Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems
errIEEE ACCESS
IF3.6
err2022-01-01
err11
errOAAI
errDylewsky, Daniel; Barajas-Solano, David; Ma, Tong; Tartakovsky, Alexandre M.; Kutz, J. Nathan
err分享
err收藏
Learning viscoelasticity models from indirect data using deep neural networks
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-12-01
err35
errOAAI
errXu, Kailai; Tartakovsky, Alexandre M.; Burghardt, Jeff; Darve, Eric
err分享
err收藏
PHYSICS INFORMATION AIDED KRIGING USING STOCHASTIC SIMULATION MODELS\ast
errSIAM JOURNAL ON SCIENTIFIC COMPUTING
IF2.6
err2021-11-15
err10
PREAI
errYang, Xiu; Tartakovsky, Guzel; Tartakovsky, Alexandre M.
err分享
err收藏
A conservative level set method for N-phase flows with a free-energy-based surface tension model基于自由能的表面张力模型的N相流动的保守水平集方法
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-02-01
err19
errOAAI
errHoward, Amanda A.; Tartakovsky, Alexandre M.
err分享
err收藏

研究方向

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