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Sulimon Sattari

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

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Chaos (Woodbury, N.Y.)|December 3, 2017
Using periodic orbits to compute chaotic transport rates between resonance zonesSulimon Sattari, Kevin A Mitchell
Chaos (Woodbury, N.Y.)|April 3, 2016
Using heteroclinic orbits to quantify topological entropy in fluid flowsSulimon Sattari, Qianting Chen, Kevin A Mitchell
Chaos (Woodbury, N.Y.)|May 8, 2025
Computing classical escape rates from periodic orbits in chaotic hydrogenEthan T Custodio, Sulimon Sattari, Kevin A Mitchell
Physical Review. E|August 16, 2020
Inferring domain of interactions among particles from ensemble of trajectoriesUdoy S Basak, Sulimon Sattari, Kazuki Horikawa, et al.
Physical Review. E|January 20, 2021
Erratum: Inferring domain of interactions among particles from ensemble of trajectories [Phys. Rev. E 102, 012404 (2020)]Udoy S Basak, Sulimon Sattari, Kazuki Horikawa, et al.
The Journal of Chemical Physics|January 27, 2021
An information-theoretic approach to infer the underlying interaction domain among elements from finite length trajectories in a noisy environmentUdoy S Basak, Sulimon Sattari, Md Motaleb Hossain, et al.
Biophysics and Physicobiology|June 28, 2021
Transfer entropy dependent on distance among agents in quantifying leader-follower relationshipsUdoy S Basak, Sulimon Sattari, Motaleb Hossain, et al.
Biophysics and Physicobiology|August 23, 2024
Inferring the roles of individuals in collective systems using information-theoretic measures of influenceSulimon Sattari, Udoy S Basak, M Mohiuddin, et al.
Journal of Nursing Care Quality|June 27, 2024
Utilizing Data and Alarm Champions to Enhance Alarm Management: A Pediatric Quality Improvement InitiativeJoellan Mullen, Sulimon Sattari, Melissa Rauch, et al.
Scientific Reports|August 2, 2023
Comparison of particle image velocimetry and the underlying agents dynamics in collectively moving self propelled particlesUdoy S Basak, Sulimon Sattari, Md Motaleb Hossain, et al.
Pageof 2

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

Sort By:
Pageof 2
Chaos (Woodbury, N.Y.)|December 3, 2017
Using periodic orbits to compute chaotic transport rates between resonance zonesSulimon Sattari, Kevin A Mitchell
Chaos (Woodbury, N.Y.)|April 3, 2016
Using heteroclinic orbits to quantify topological entropy in fluid flowsSulimon Sattari, Qianting Chen, Kevin A Mitchell
Chaos (Woodbury, N.Y.)|May 8, 2025
Computing classical escape rates from periodic orbits in chaotic hydrogenEthan T Custodio, Sulimon Sattari, Kevin A Mitchell
Physical Review. E|August 16, 2020
Inferring domain of interactions among particles from ensemble of trajectoriesUdoy S Basak, Sulimon Sattari, Kazuki Horikawa, et al.
Physical Review. E|January 20, 2021
Erratum: Inferring domain of interactions among particles from ensemble of trajectories [Phys. Rev. E 102, 012404 (2020)]Udoy S Basak, Sulimon Sattari, Kazuki Horikawa, et al.
The Journal of Chemical Physics|January 27, 2021
An information-theoretic approach to infer the underlying interaction domain among elements from finite length trajectories in a noisy environmentUdoy S Basak, Sulimon Sattari, Md Motaleb Hossain, et al.
Biophysics and Physicobiology|June 28, 2021
Transfer entropy dependent on distance among agents in quantifying leader-follower relationshipsUdoy S Basak, Sulimon Sattari, Motaleb Hossain, et al.
Biophysics and Physicobiology|August 23, 2024
Inferring the roles of individuals in collective systems using information-theoretic measures of influenceSulimon Sattari, Udoy S Basak, M Mohiuddin, et al.
Journal of Nursing Care Quality|June 27, 2024
Utilizing Data and Alarm Champions to Enhance Alarm Management: A Pediatric Quality Improvement InitiativeJoellan Mullen, Sulimon Sattari, Melissa Rauch, et al.
Scientific Reports|August 2, 2023
Comparison of particle image velocimetry and the underlying agents dynamics in collectively moving self propelled particlesUdoy S Basak, Sulimon Sattari, Md Motaleb Hossain, et al.
Pageof 2