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Themistoklis P. Sapsis

massachusetts institute of technology

37H指数
272论文数
4.4K被引数
收录论文 58
发表时间
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Extreme Event Aware (η-) Learning极端事件感知（η-）学习
errNature Communications
IF15.7
err2026-08-20
err0
errOAAI
errKai Chang; Themistoklis P. Sapsis
err分享
err收藏
A Probabilistic Framework for Learning Non-Intrusive Corrections to Long-Time Climate Simulations From Short-Time Training Data基于短时间训练数据学习非侵入式修正长期气候模拟的概率框架
errJournal of Advances in Modeling Earth Systems
IF4.6
err2026-01-08
err0
errOAAI
errBarthel Sorensen, Benedikt; Zepeda-Nunez, Leonardo; Lopez-Gomez, Ignacio; Wan, Zhong Y.; Carver, Rob; Sha, Fei; Sapsis, Themistoklis P.
err分享
err收藏
What are the most informative data points for predicting extreme events?预测极端事件最有信息量的数据点有哪些？
errNonlinear Dynamics
IF6
err2025-09-22
err0
errOAAI
errBianca Champenois; Themistoklis P. Sapsis
err分享
err收藏
Deep learning vortex-induced vibrations: Time-space forecasting with transformers深度学习涡激振动：基于Transformer的时间-空间预测
errJournal of Fluids and Structures
IF3.5
err2025-06-07
err0
PREAI
errAndreas P. Mentzelopoulos; Ioannis Papakalodoukas; Dixia Fan; Themistoklis P. Sapsis; Michael S. Triantafyllou
err分享
err收藏
Reduced order modeling of wave energy systems via sequential Bayesian experimental design and machine learning通过顺序贝叶斯实验设计和机器学习对波浪能系统进行降阶建模
errAPPLIED OCEAN RESEARCH
IF4.4
err2025-02-01
err1
errOAAI
errKatsidoniotaki, Eirini; Guth, Stephen; Goteman, Malin; Sapsis, Themistoklis P.
err分享
err收藏
Can diffusion models capture extreme event statistics?
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2025-02-01
err0
PREAI
errStamatelopoulos, Stamatis; Sapsis, Themistoklis P.
err分享
err收藏
Reconstructing flexible body vortex-induced vibrations using machine-vision and predicting the motions using semi-empirical models informed with transfer learned hydrodynamic coefficients
errJOURNAL OF FLUIDS AND STRUCTURES
IF3.5
err2024-10-01
err1
PREAI
errMentzelopoulos, Andreas P.; Prele, Emile; Fan, Dixia; Ferrandis, Jose del Aguila; Sapsis, Themistoklis; Triantafyllou, Michael S.
err分享
err收藏
Improving predictions of vortex induced vibrations via generalizable hydrodynamic databases across several current incidence angles
errJOURNAL OF FLUIDS AND STRUCTURES
IF3.5
err2024-05-01
err1
PREAI
errFerrandis, Jose del Aguila; Mentzelopoulos, Andreas; Ronglan, Edvard; Rudy, Samuel; Fan, Dixia; Sapsis, Themistoklis; Triantafyllou, Michael S.
err分享
err收藏
Quality measures for the evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-02-01
err2
PREAI
errGuth, Stephen; Mojahed, Alireza; Sapsis, Themistoklis P.
err分享
err收藏
Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling
errWIND ENERGY
IF3.3
err2023-11-14
err7
errOAAI
errGuth, Stephen; Katsidoniotaki, Eirini; Sapsis, Themistoklis P.
err分享
err收藏
Active learning for optimal intervention design in causal models
errNATURE MACHINE INTELLIGENCE
IF23.9
err2023-10-02
err10
errOAAI
errZhang, Jiaqi; Cammarata, Louis; Squires, Chandler; Sapsis, Themistoklis P.; Uhler, Caroline
err分享
err收藏
Y Discovering and forecasting extreme events via active learning in neural operatorsY在神经算子中通过主动学习发现和预测极端事件
errNATURE COMPUTATIONAL SCIENCE
IF18.3
err2022-12-19
err32
errOAAI
errPickering, Ethan; Guth, Stephen; Karniadakis, George Em; Sapsis, Themistoklis P.
err分享
err收藏
Uncertainty quantification of turbulent systems via physically consistent and data-informed reduced-order models
errPHYSICS OF FLUIDS
IF4.3
err2022-07-08
err5
errOAAI
errCharalampopoulos, A.; Sapsis, T.
err分享
err收藏
Optimized parametric hydrodynamic databases provide accurate response predictions and describe the physics of vortex-induced vibrations
errJOURNAL OF FLUIDS AND STRUCTURES
IF3.5
err2022-07-01
err4
PREAI
errRudy, Samuel; Fan, Dixia; Ferrandis, Jose del Aguila; Sapsis, Themistoklis P.; Triantafyllou, Michael S.
err分享
err收藏
Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes applied to bubble dynamics
errPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
IF3.7
err2022-06-20
err6
errOAAI
errCharalampopoulos, A.; Bryngelson, S. H.; Colonius, T.; Sapsis, T. P.
err分享
err收藏
Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression
errPHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
IF3.7
err2022-06-20
err7
errOAAI
errSapsis, Themistoklis P.; Blanchard, Antoine
err分享
err收藏
Nonlinear wave evolution with data-driven breaking
errNATURE COMMUNICATIONS
IF15.7
err2022-04-29
err21
errOAAI
errEeltink, D.; Branger, H.; Luneau, C.; He, Y.; Chabchoub, A.; Kasparian, J.; van den Bremer, T. S.; Sapsis, T. P.
err分享
err收藏
Bayesian optimization for active flow control
errACTA MECHANICA SINICA
IF4.6
err2022-01-10
err20
PREAI
errBlanchard, Antoine B.; Maceda, Guy Y. Cornejo; Fan, Dewei; Li, Yiqing; Zhou, Yu; Noack, Bernd R.; Sapsis, Themistoklis P.
err分享
err收藏
A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-10-01
err6
errOAAI
errWan, Zhong Yi; Dodov, Boyko; Lessig, Christian; Dijkstra, Henk; Sapsis, Themistoklis P.
err分享
err收藏
Probabilistic characterization of the effect of transient stochastic loads on the fatigue-crack nucleation time
errPROBABILISTIC ENGINEERING MECHANICS
IF3.5
err2021-10-01
err2
errOAAI
errGuth, Stephen; Sapsis, Themistoklis P.
err分享
err收藏

研究方向

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合作学者
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