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Benjamin D Shaffer
Jeremy R Vorenberg
M Ani Hsieh

Showing results (1-10 of 12) with videos related to

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Chaos (Woodbury, N.Y.)|March 14, 2025
Spectrally informed learning of fluid flowsBenjamin D Shaffer, Jeremy R Vorenberg, M Ani Hsieh
Applied Optics|September 14, 2023
Generalizable turbulent flow forecasting for adaptive optics controlBenjamin D Shaffer, Jeremy R Vorenberg, Christopher C Wilcox, et al.
Chaos (Woodbury, N.Y.)|June 4, 2019
Using control to shape stochastic escape and switching dynamicsDhanushka Kularatne, Eric Forgoston, M Ani Hsieh
Chaos (Woodbury, N.Y.)|May 23, 2024
Inferring bifurcation diagrams with transformersLyra Zhornyak, M Ani Hsieh, Eric Forgoston
Chaos (Woodbury, N.Y.)|December 9, 2021
Knowledge-based learning of nonlinear dynamics and chaosTom Z Jiahao, M Ani Hsieh, Eric Forgoston
Physical Review. E|July 17, 2021
Critical transition for colliding swarmsJason Hindes, Victoria Edwards, M Ani Hsieh, et al.
Frontiers in Robotics and AI|January 27, 2021
Synchronous Rendezvous for Networks of Marine Robots in Large Scale Ocean MonitoringXi Yu, M Ani Hsieh, Cong Wei, et al.
Chaos (Woodbury, N.Y.)|August 6, 2020
Delay induced swarm pattern bifurcations in mixed reality experimentsVictoria Edwards, Philip deZonia, M Ani Hsieh, et al.
Applied Optics|October 6, 2021
Dynamic mode decomposition based predictive model performance on supersonic and transonic aero-optical wavefront measurementsBenjamin D Shaffer, Austin J McDaniel, Christopher C Wilcox, et al.
Chaos (Woodbury, N.Y.)|June 4, 2020
Torus bifurcations of large-scale swarms having range dependent communication delayIra B Schwartz, Victoria Edwards, Sayomi Kamimoto, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Chaos (Woodbury, N.Y.)|March 14, 2025
Spectrally informed learning of fluid flowsBenjamin D Shaffer, Jeremy R Vorenberg, M Ani Hsieh
Applied Optics|September 14, 2023
Generalizable turbulent flow forecasting for adaptive optics controlBenjamin D Shaffer, Jeremy R Vorenberg, Christopher C Wilcox, et al.
Chaos (Woodbury, N.Y.)|June 4, 2019
Using control to shape stochastic escape and switching dynamicsDhanushka Kularatne, Eric Forgoston, M Ani Hsieh
Chaos (Woodbury, N.Y.)|May 23, 2024
Inferring bifurcation diagrams with transformersLyra Zhornyak, M Ani Hsieh, Eric Forgoston
Chaos (Woodbury, N.Y.)|December 9, 2021
Knowledge-based learning of nonlinear dynamics and chaosTom Z Jiahao, M Ani Hsieh, Eric Forgoston
Physical Review. E|July 17, 2021
Critical transition for colliding swarmsJason Hindes, Victoria Edwards, M Ani Hsieh, et al.
Frontiers in Robotics and AI|January 27, 2021
Synchronous Rendezvous for Networks of Marine Robots in Large Scale Ocean MonitoringXi Yu, M Ani Hsieh, Cong Wei, et al.
Chaos (Woodbury, N.Y.)|August 6, 2020
Delay induced swarm pattern bifurcations in mixed reality experimentsVictoria Edwards, Philip deZonia, M Ani Hsieh, et al.
Applied Optics|October 6, 2021
Dynamic mode decomposition based predictive model performance on supersonic and transonic aero-optical wavefront measurementsBenjamin D Shaffer, Austin J McDaniel, Christopher C Wilcox, et al.
Chaos (Woodbury, N.Y.)|June 4, 2020
Torus bifurcations of large-scale swarms having range dependent communication delayIra B Schwartz, Victoria Edwards, Sayomi Kamimoto, et al.
Pageof 2