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MIT Stochastic Analysis and Nonlinear Dynamics Lab - Themis Sapsis group

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. Long-term probabilistic quantification and short-term prediction of extreme waves. Targeted energy transfer in nonlinear oscillators with applications in energy harvesting and passive protection of structures.

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MIT Stochastic Analysis and Nonlinear Dynamics Lab - Themis Sapsis group | sand-lab.com Reviews

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Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. Long-term probabilistic quantification and short-term prediction of extreme waves. Targeted energy transfer in nonlinear oscillators with applications in energy harvesting and passive protection of structures.

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1 people

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3 alumni

4 research

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7 conference papers

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MIT Stochastic Analysis and Nonlinear Dynamics Lab - Themis Sapsis group | sand-lab.com Reviews

https://sand-lab.com

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. Long-term probabilistic quantification and short-term prediction of extreme waves. Targeted energy transfer in nonlinear oscillators with applications in energy harvesting and passive protection of structures.

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Paper accepted to SIAM/ASA UQ

http://www.sand-lab.com/index.php/news/126-paper-accepted-to-siam-asa-uq

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. July 3, 2015. Department of Mechanical Engineering. Massachusetts Institute of Technology.

2

MIT SAND Lab - News

http://www.sand-lab.com/index.php/news

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. Aug 26, 2016. Our paper "Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems" has been accepted to. Jun 26, 2016. Journal of Computational Physics. Mar 4, 2016. Our pape...

3

Alumni

http://www.sand-lab.com/index.php/people/alumni

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. 2013-2015) [Data Analyst, Sport Industry]. Trevor Day, UROP (2015). Katy Evans, UROP (2014). Henry Merrow, UROP (2014). Sylvain Truong, Graduate Student, Ecole des Mines de Paris, (Fall 2013).

4

Themis Sapsis

http://www.sand-lab.com/index.php/people/11-web-articles/46-themistoklis-sapsis

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. PhD in Mechanical Engineering - Massachusetts Institute of Technology. Thesis: Dynamically orthogonal field equations for stochastic fluid flows and particle dynamics. Advisors: P. Lermusiaux. Best paper awa...

5

Paper accepted to Physical Review E

http://www.sand-lab.com/index.php/news/125-paper-accepted-to-pre

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. May 30, 2015. Our paper on the nonlinear stability of unidirectional wave-groups has been accepted to Physical Review E. The paper can be found here: [pdf]. Department of Mechanical Engineering.

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MIT Stochastic Analysis and Nonlinear Dynamics Lab - Themis Sapsis group

Quantification of extreme events in nonlinear systems. Closure and reduction of turbulent systems - MQG. Reduction of chaotic fluid flows with DO equations. Targeted energy transfer in nonlinear oscillators. Transport and mixing of finite-size particles. Dynamical systems excited by correlated noise. Long-term probabilistic quantification and short-term prediction of extreme waves. Targeted energy transfer in nonlinear oscillators with applications in energy harvesting and passive protection of structures.

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