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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 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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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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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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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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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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Active learning of ternary alloy structures and energies

npj computational materials, 2024-05, Vol.10 (1), p.116-11, Article 116

2024

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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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Depolymerization of plastics by means of electrified spatiotemporal heating

Nature (London), 2023-04, Vol.616 (7957), p.488-494

2023

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Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data

Journal of mathematical biology, 2023-07, Vol.87 (1), p.15-15, Article 15

2023

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"Coarse" Stability and Bifurcation Analysis Using Time-Steppers: A Reaction-Diffusion Example

Proceedings of the National Academy of Sciences - PNAS, 2000-08, Vol.97 (18), p.9840-9843

2000

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Designing networks with resiliency to edge failures using two-stage robust optimization

European journal of operational research, 2019-12, Vol.279 (3), p.704-720

2019

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Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme

SIAM review, 2007-09, Vol.49 (3), p.469-487

2007

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Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities

Frontiers in computational neuroscience, 2017-06, Vol.11, p.43-43

2017

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

Equation-free multiscale computation: algorithms and applications

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

Learning emergent partial differential equations in a learned emergent space

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

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

Emergent Spaces for Coupled Oscillators

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

Reconstruction of normal forms by learning informed observation geometries from data

Active learning of ternary alloy structures and energies

Programmable heating and quenching for efficient thermochemical synthesis

Depolymerization of plastics by means of electrified spatiotemporal heating

Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data

"Coarse" Stability and Bifurcation Analysis Using Time-Steppers: A Reaction-Diffusion Example

Designing networks with resiliency to edge failures using two-stage robust optimization

Deciding the Nature of the Coarse Equation through Microscopic Simulations: The Baby-Bathwater Scheme

Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities

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