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High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery

Science (American Association for the Advancement of Science), 2022-04, Vol.376 (6589), p.eabn3103-eabn3103

2022

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A classification scheme for chimera states

Chaos (Woodbury, N.Y.), 2016-09, Vol.26 (9)

2016

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From Discrete to Continuum Models of Three-Dimensional Deformations in Epithelial Sheets

Biophysical journal, 2015-07, Vol.109 (1), p.154-163

2015

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A kernel-based method for data-driven koopman spectral analysis

Journal of computational dynamics, 2015, Vol.2 (2), p.247-265

2015

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Learning emergent partial differential equations in a learned emergent space

Nature communications, 2022-06, Vol.13 (1), p.3318-3318, Article 3318

2022

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Shape Transformations of Epithelial Shells

Biophysical journal, 2016-04, Vol.110 (7), p.1670-1678

2016

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Dynamics of Inductive ERK Signaling in the Drosophila Embryo

Current biology, 2015-06, Vol.25 (13), p.1784-1790

2015

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Machine learning-assisted crystal engineering of a zeolite

Nature communications, 2023-05, Vol.14 (1), p.3152-3152, Article 3152

2023

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Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps

Proceedings of the National Academy of Sciences - PNAS, 2009-09, Vol.106 (38), p.16090-16095

2009

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Systematic determination of order parameters for chain dynamics using diffusion maps

Proceedings of the National Academy of Sciences - PNAS, 2010-08, Vol.107 (31), p.13597-13602

2010

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Task-oriented machine learning surrogates for tipping points of agent-based models

Nature communications, 2024-05, Vol.15 (1), p.4117-4117, Article 4117

2024

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Inherent noise can facilitate coherence in collective swarm motion

Proceedings of the National Academy of Sciences - PNAS, 2009-04, Vol.106 (14), p.5464-5469

2009

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Limits of entrainment of circadian neuronal networks

Chaos (Woodbury, N.Y.), 2023-01, Vol.33 (1), p.013137

2023

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Bistability and oscillations in the Huang-Ferrell model of MAPK signaling

PLoS computational biology, 2007-09, Vol.3 (9), p.1819-1826

2007

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Emergent Spaces for Coupled Oscillators

Frontiers in computational neuroscience, 2020-05, Vol.14, p.36-36

2020

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On learning Hamiltonian systems from data

Chaos (Woodbury, N.Y.), 2019-12, Vol.29 (12)

2019

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Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

Chaos (Woodbury, N.Y.), 2017-10, Vol.27 (10)

2017

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A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

Journal of nonlinear science, 2015-12, Vol.25 (6), p.1307-1346

2015

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Synthesizing developmental trajectories

PLoS computational biology, 2017-09, Vol.13 (9), p.e1005742-e1005742

2017

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Substrate-Dependent Control of ERK Phosphorylation Can Lead to Oscillations

Biophysical journal, 2011-12, Vol.101 (11), p.2572-2581

2011

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Coarse-grained analysis of stochasticity-induced switching between collective motion states

Proceedings of the National Academy of Sciences - PNAS, 2007-04, Vol.104 (14), p.5931-5935

2007

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Optical imaging and control of genetically designated neurons in functioning circuits

Annual review of neuroscience, 2005-01, Vol.28 (1), p.533-563

2005

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Transformations establishing equivalence across neural networks: When have two networks learned the same task?

Chaos (Woodbury, N.Y.), 2024-07, Vol.34 (7)

2024

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Reconstruction of normal forms by learning informed observation geometries from data

Proceedings of the National Academy of Sciences - PNAS, 2017-09, Vol.114 (38), p.E7865-E7874

2017

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Programmable heating and quenching for efficient thermochemical synthesis

Nature (London), 2022-05, Vol.605 (7910), p.470-476

2022

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High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery

A classification scheme for chimera states

From Discrete to Continuum Models of Three-Dimensional Deformations in Epithelial Sheets

A kernel-based method for data-driven koopman spectral analysis

Learning emergent partial differential equations in a learned emergent space

Shape Transformations of Epithelial Shells

Dynamics of Inductive ERK Signaling in the Drosophila Embryo

Machine learning-assisted crystal engineering of a zeolite

Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps

Systematic determination of order parameters for chain dynamics using diffusion maps

Task-oriented machine learning surrogates for tipping points of agent-based models

Inherent noise can facilitate coherence in collective swarm motion

Limits of entrainment of circadian neuronal networks

Bistability and oscillations in the Huang-Ferrell model of MAPK signaling

Emergent Spaces for Coupled Oscillators

On learning Hamiltonian systems from data

Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

Synthesizing developmental trajectories

Substrate-Dependent Control of ERK Phosphorylation Can Lead to Oscillations

Coarse-grained analysis of stochasticity-induced switching between collective motion states

Optical imaging and control of genetically designated neurons in functioning circuits

Transformations establishing equivalence across neural networks: When have two networks learned the same task?

Reconstruction of normal forms by learning informed observation geometries from data

Programmable heating and quenching for efficient thermochemical synthesis

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