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Igor Mezić

Showing results (11-20 of 30) with videos related to

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Scientific Reports|September 28, 2016
Programmable Potentials: Approximate N-body potentials from coarse-level logicGunjan S Thakur, Ryan Mohr, Igor Mezić
Nature Communications|July 14, 2026
Adversarial dynamical systems characterize when data-driven learning succeeds or failsMatthew J Colbrook, Igor Mezić, Alexei Stepanenko
Lab on a Chip|March 3, 2007
An ultrashort mixing length micromixer: the shear superposition micromixerFrédéric Bottausci, Caroline Cardonne, Carl Meinhart, et al.
Plos One|September 12, 2019
Koopman Mode Analysis of agent-based models of logistics processesJames Hogg, Maria Fonoberova, Igor Mezić, et al.
Plos One|October 6, 2018
An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysisMaria Fonoberova, Igor Mezić, Jadranka Mezić, et al.
Science (New York, N.Y.)|September 4, 2010
A new mixing diagnostic and Gulf oil spill movementIgor Mezić, S Loire, Vladimir A Fonoberov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 13, 2004
Mixing in the shear superposition micromixer: three-dimensional analysisFrederic Bottausci, Igor Mezić, Carl D Meinhart, et al.
Chaos (Woodbury, N.Y.)|January 3, 2025
Koopman learning with episodic memoryWilliam T Redman, Dean Huang, Maria Fonoberova, et al.
Chaos (Woodbury, N.Y.)|January 3, 2020
On learning Hamiltonian systems from dataTom Bertalan, Felix Dietrich, Igor Mezić, et al.
Analytica Chimica Acta|March 9, 2020
Electrokinetic mixing in electrode-embedded multiwell plates to improve the diffusion limited kinetics of biosensing platformsEmir Yasun, Baptiste Neff, Travis Trusty, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Scientific Reports|September 28, 2016
Programmable Potentials: Approximate N-body potentials from coarse-level logicGunjan S Thakur, Ryan Mohr, Igor Mezić
Nature Communications|July 14, 2026
Adversarial dynamical systems characterize when data-driven learning succeeds or failsMatthew J Colbrook, Igor Mezić, Alexei Stepanenko
Lab on a Chip|March 3, 2007
An ultrashort mixing length micromixer: the shear superposition micromixerFrédéric Bottausci, Caroline Cardonne, Carl Meinhart, et al.
Plos One|September 12, 2019
Koopman Mode Analysis of agent-based models of logistics processesJames Hogg, Maria Fonoberova, Igor Mezić, et al.
Plos One|October 6, 2018
An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysisMaria Fonoberova, Igor Mezić, Jadranka Mezić, et al.
Science (New York, N.Y.)|September 4, 2010
A new mixing diagnostic and Gulf oil spill movementIgor Mezić, S Loire, Vladimir A Fonoberov, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|August 13, 2004
Mixing in the shear superposition micromixer: three-dimensional analysisFrederic Bottausci, Igor Mezić, Carl D Meinhart, et al.
Chaos (Woodbury, N.Y.)|January 3, 2025
Koopman learning with episodic memoryWilliam T Redman, Dean Huang, Maria Fonoberova, et al.
Chaos (Woodbury, N.Y.)|January 3, 2020
On learning Hamiltonian systems from dataTom Bertalan, Felix Dietrich, Igor Mezić, et al.
Analytica Chimica Acta|March 9, 2020
Electrokinetic mixing in electrode-embedded multiwell plates to improve the diffusion limited kinetics of biosensing platformsEmir Yasun, Baptiste Neff, Travis Trusty, et al.
Pageof 3