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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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Equation-free multiscale computation: algorithms and applications

Annual review of physical chemistry, 2009-01, Vol.60 (1), p.321-344

2009

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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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Shape Transformations of Epithelial Shells

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

2016

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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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Dynamics of Inductive ERK Signaling in the Drosophila Embryo

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

2015

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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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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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Systematic characterization of protein folding pathways using diffusion maps: application to Trp-cage miniprotein

The Journal of chemical physics, 2015-02, Vol.142 (8), p.085101-085101

2015

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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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Dissipative particle dynamics simulations of polymer-protected nanoparticle self-assembly

The Journal of chemical physics, 2011-11, Vol.135 (18), p.184903-184903-10

2011

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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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Diffusion maps, clustering and fuzzy Markov modeling in peptide folding transitions

The Journal of chemical physics, 2014-09, Vol.141 (11), p.114102-114102

2014

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

Equation-free multiscale computation: algorithms and applications

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

Shape Transformations of Epithelial Shells

Learning emergent partial differential equations in a learned emergent space

Dynamics of Inductive ERK Signaling in the Drosophila Embryo

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

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

Systematic characterization of protein folding pathways using diffusion maps: application to Trp-cage miniprotein

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

Dissipative particle dynamics simulations of polymer-protected nanoparticle self-assembly

Synthesizing developmental trajectories

Substrate-Dependent Control of ERK Phosphorylation Can Lead to Oscillations

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

Diffusion maps, clustering and fuzzy Markov modeling in peptide folding transitions

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