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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Sparse identification of" (30 stories)

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Differentiable Sparse Identification of Lagrangian Dynamics
Lead StoryThe Association for the Advancement of Artificial Intelligencegeneral
Mar 14

Differentiable Sparse Identification of Lagrangian Dynamics

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5jcXJKeUJhbV9vTVBsY2hVQjBsQU1IYTBfeFJ1Mk9TajNKeDBPNXNtd3d3MDJpWGhYUndjTzlEUWJHRTlsOU9PcTV3alFHYUhNMEhGdU1TXzFRU2JmWkNncWZmMjY?oc=5" target="_blank">Differentiable Sparse Identification of Lagrangian Dynamics</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Search Results for "Sparse identification of"

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29 stories displayed
Sparse identification of nonlinear dynamics applied to the acoustic levitation of acoustically large objects
Naturegeneral

Sparse identification of nonlinear dynamics applied to the acoustic levitation of acoustically large objects

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1vNTFndkxQNy14VTQzX0pXV0piRm90eXFMVDNfVHlZUERXamY5aG9hTXlQbFVaM2pVS2p6dGtiamk0ZUplQS1RUnlzODlrTmQyb2pCTVhzeHF3N2dLY3JV?oc=5" target="_blank">Sparse identification of nonlinear dynamics applied to the acoustic levitation of acoustically large objects</a>  <font color="#6f6f6f">Nature</font>

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Chaotic dynamics of Tai Chi public attention revealed by an integrated framework of horizontal visibility graphs, autoencoders, and sparse identification
Naturetech

Chaotic dynamics of Tai Chi public attention revealed by an integrated framework of horizontal visibility graphs, autoencoders, and sparse identification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGalNyei1ZaklFVHhNLXZPS3h2cGNJUmpWVUljdjFUYWJZSVJRYWxjVVBDOXBNaWRxZlNuRUVRZTVFeUlHZFVBSHY4ZHFUd2wyYi1tZ20xdTZiVXdDaEtj?oc=5" target="_blank">Chaotic dynamics of Tai Chi public attention revealed by an integrated framework of horizontal visibility graphs, autoencoders, and sparse identification</a>  <font color="#6f6f6f">Nature</font>

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Identifying spatially localized instability mechanisms using sparse optimization
APS Journalsgeneral

Identifying spatially localized instability mechanisms using sparse optimization

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE9ReGJoMlpxV1F3dk1ZcE03eS0yRV82NmhkX25RZ0xfNXhobmNhYlo4ZUxGSXBncTI5UEcwb0tVQnRhSHZHVW8yczBuaEs1WHZzeEpjd0pyeXNuZGxyVjlwNW1XNVBfMk9ZRHQ3Nw?oc=5" target="_blank">Identifying spatially localized instability mechanisms using sparse optimization</a>  <font color="#6f6f6f">APS Journals</font>

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Sparse identification of nonlinear dynamics with low-dimensionalized flow representations
Cambridge University Press & Assessmentgeneral

Sparse identification of nonlinear dynamics with low-dimensionalized flow representations

<a href="https://news.google.com/rss/articles/CBMiogJBVV95cUxQNDhBTFp2b2JFVnI5ZEYxd0c0cnNJOEhWVTV1MGJySDdHYUJjVHl0eFNyZmtBT2lfejh2bGhHdmRJTVVzelRkQnZaTHhtYmRDVS1QdUFGOE11M2tKRVgwLV9ndHN2VGs1YzgwaFc4MXJFcHdnUE1LMjMzMENVcVFwbVR1Rkk2UGZiUVpVbUxhQ1RhWUFtTi1jbmQ1dTAtUjE3TFViUVRFMVFQUldNb2llalE0aFNBcFhSZnFscktfVmV0ejhuOVdja0U5YTYwenZuOEUtYmZRbmJMRHJmZ2M0NjdpR0kzeXlRN0s3b0tPTUVtN0RJbWViTW45TVRCUnRfRURvNnlQd19VcXA0Rl9NN1JoTmpNRzRxUUJBTE1BbGxVdw?oc=5" target="_blank">Sparse identification of nonlinear dynamics with low-dimensionalized flow representations</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation
Naturetech

A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00WnFfbzFVeG5sLU8yVF9xdU4zSnBfMHFzOWlpYmhIeFI4WkV3Vk5nYmNSTlZuYmdNajJDc1lSeTNGeHNrSE9JblZxUVZYQTJUbUNZQjk0akU5d3NkbW1r?oc=5" target="_blank">A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation</a>  <font color="#6f6f6f">Nature</font>

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Reduced-order modeling of nonlinear multiscale industrial systems via sparse regression in latent representations
Naturegeneral

Reduced-order modeling of nonlinear multiscale industrial systems via sparse regression in latent representations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Qd1JtN3c0bXIyQUdPRlFjOFJwazdJbGZLdkFaX2xDZnBpU1JYT2RhYjZVVzVlVmF5TF9OTmlMeWhCU0VWRnFGeDhpUDZnVHplZkw0bG82Vl9YdTFWNFpR?oc=5" target="_blank">Reduced-order modeling of nonlinear multiscale industrial systems via sparse regression in latent representations</a>  <font color="#6f6f6f">Nature</font>

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SINDy-RL for interpretable and efficient model-based reinforcement learning
Naturegeneral

SINDy-RL for interpretable and efficient model-based reinforcement learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WSW8yNHJmaXFWcndLTkNHd0lKd2hqYjVvZFRCT3JuYkl2U0FhNGV6Qk84ajkwQUdzb05KbXBSM3NtekVYNUg5eS1USVgyRG5ZeVp5ZENJRXo5UTN2M1dn?oc=5" target="_blank">SINDy-RL for interpretable and efficient model-based reinforcement learning</a>  <font color="#6f6f6f">Nature</font>

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Implicit Runge-Kutta based sparse identification of governing equations in biologically motivated systems
Natureworld

Implicit Runge-Kutta based sparse identification of governing equations in biologically motivated systems

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1TUDF5dE9RcTdFdnR5WXlHYTlTd0YtdGhoZmlIRHdITERaVS13SXdyaHhtaWk4QjViNUJCaEU5eEQ0dUZsaHQ2V3djUFRQWkJuTGtWQmItUzgxdFBiVmFF?oc=5" target="_blank">Implicit Runge-Kutta based sparse identification of governing equations in biologically motivated systems</a>  <font color="#6f6f6f">Nature</font>

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Determination of optimal sampling wavelengths for reflectance measurement using sparse principal component analysis
Naturegeneral

Determination of optimal sampling wavelengths for reflectance measurement using sparse principal component analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBmRXdjMDNsS2gwTm9Nb3pPZl8wSHhXUHdWS0FwdFZZVmdCb3hMMmQyaXBQUTFaQURGMnB6QmYxSVdnbFRnVDk1VGttRW5WeHZuN3BXRWRWRUhFOWVVS1hV?oc=5" target="_blank">Determination of optimal sampling wavelengths for reflectance measurement using sparse principal component analysis</a>  <font color="#6f6f6f">Nature</font>

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Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method
Naturegeneral

Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1tX1FpMkVSUTJMWHdxTEdncVFtOV81SDl4V2E2dm5rWGR4WXQza0lSelQtcDgxSnFreGlxa3UwQVBMc3Z4eE8yQzJOdkpRb0lMclluUERtbVZWdDZmQ3dr?oc=5" target="_blank">Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method</a>  <font color="#6f6f6f">Nature</font>

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Early outbreak detection in endemic settings using a novel method applied to sparse Rift Valley fever incidence data
Naturegeneral

Early outbreak detection in endemic settings using a novel method applied to sparse Rift Valley fever incidence data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfQ243SDV0WktiQzc4Nk0xcmMxR0p5QnpZeklDalUtWURyWXllS2pwOEZTdFYzUFNBYXhqaXRXLWZacEF1ZzlrU1JFSjRTcDE2b1NjLVdmQS1uaUVIeDFN?oc=5" target="_blank">Early outbreak detection in endemic settings using a novel method applied to sparse Rift Valley fever incidence data</a>  <font color="#6f6f6f">Nature</font>

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Automatically discovering ordinary differential equations from data with sparse regression | Communications Physics
Natureworld

Automatically discovering ordinary differential equations from data with sparse regression | Communications Physics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBQbzJ5VWk2MkZDQk5KSXduRlRNdzZCVElyR0hhWWZ5cDdPcGN6U1RZRGNGOXZlZE8wOEd0Mm9EQTkwUG9ONVgxcVlKUEhPVkZLcExtNEY3bzNnMF9EWFlF?oc=5" target="_blank">Automatically discovering ordinary differential equations from data with sparse regression | Communications Physics</a>  <font color="#6f6f6f">Nature</font>

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Modeling Moose–Wolf interactions in Isle Royale National Park using sparse identification of nonlinear dynamics
Naturegeneral

Modeling Moose–Wolf interactions in Isle Royale National Park using sparse identification of nonlinear dynamics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5VUmVXWXNYYVlVZDBXLWJvUmk2NWVKV0t5UjZvMTFPRjhCVmZQUEp5RDNqZlUxT2o0ZGluQTNPYjFmUU5sLTNtWE1JZkhYdVVlb0xfcUxDbU1RODBrQkVz?oc=5" target="_blank">Modeling Moose–Wolf interactions in Isle Royale National Park using sparse identification of nonlinear dynamics</a>  <font color="#6f6f6f">Nature</font>

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Network construction using sparse Gaussian graphical model based on GWAS summary statistics
Naturegeneral

Network construction using sparse Gaussian graphical model based on GWAS summary statistics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1PWnhGVElRRkNPbDB1T3ZCUlI5ZlltdDFhbEtjOG10R1FIOGlPNDZIS3NOOHJ4cnBSYlJCdzBJLUFEZDFfd011bVVBYUwzWklRbnUzVExzR1lueURiYUtR?oc=5" target="_blank">Network construction using sparse Gaussian graphical model based on GWAS summary statistics</a>  <font color="#6f6f6f">Nature</font>

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Development of data-driven modeling method for nonlinear coupling components
Naturegeneral

Development of data-driven modeling method for nonlinear coupling components

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5iVGZVcFhWYWFHRlFfcHFVZEFzeVdNRVo0aVQ2VFI4bWdZcnZrLVlyMkJOWGNzaVB1eHhTQjFYWVlSRzBUMDk1SlJZV0VTUFhoQW1RTXozYWVYTE9QNzBv?oc=5" target="_blank">Development of data-driven modeling method for nonlinear coupling components</a>  <font color="#6f6f6f">Nature</font>

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Parameter identification for PDEs using sparse interior data and a recurrent neural network
Naturegeneral

Parameter identification for PDEs using sparse interior data and a recurrent neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0yNW9XZjNBaGZDOHZ3SDVIdS1pU3pVbmJmajJYVmNIUmtNTWlMaUlYZ01OaGh2NzhwZXpnaURQZHI1QWZ3Y25LRUhyWkIzakNpU3ZxN1BuTVJBcHVqakxn?oc=5" target="_blank">Parameter identification for PDEs using sparse interior data and a recurrent neural network</a>  <font color="#6f6f6f">Nature</font>

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Discovering sparse interpretable dynamics from partial observations
Naturegeneral

Discovering sparse interpretable dynamics from partial observations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5leDg0cVpneUxmSGg0a3VZRFlGbTlYVmRiUVc2V2xiSFpURnZCRVZTNFVFYnJqakhCYXoyT1ZNdEdteEw2QVhFblpfVGw4SzdsNS13d3QyYWdYbEpoZ1Zr?oc=5" target="_blank">Discovering sparse interpretable dynamics from partial observations</a>  <font color="#6f6f6f">Nature</font>

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Sparse inference and active learning of stochastic differential equations from data
Naturegeneral

Sparse inference and active learning of stochastic differential equations from data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA0X2E1d0hKUERtNlIzR2V4VnJISzQ0cUJER1UtNTd1aDQzVDlzYm5jU2ppeGVGTEx0ZEdMNVJrQkJ4bnJXS0d6SGhsdjVjVEtVakRaQ0dhYTA5ZkFPU3Aw?oc=5" target="_blank">Sparse inference and active learning of stochastic differential equations from data</a>  <font color="#6f6f6f">Nature</font>

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Coarse-graining Hamiltonian systems using WSINDy
Naturetech

Coarse-graining Hamiltonian systems using WSINDy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA1WTdMOXpCMGpBVVBwUzg0bWFRZTJnc21vVWxlUzFYTzFLXzM5dTd0cWFLT2dHb0FDZmlCTHFQQkFib1pBZklteWNWMzFTdm1ZcGZPeVFwMzd0UTlkTWdz?oc=5" target="_blank">Coarse-graining Hamiltonian systems using WSINDy</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed learning of governing equations from scarce data
Naturegeneral

Physics-informed learning of governing equations from scarce data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBudDdHU25TR3VGa21JVE9iNXJZYlBFdTZpV2VJNHM0QmdybGIyNWVzeUNLNjViWWo2UDNTT3ZDUllfcm9WT1NFaDF3QzNfMWFJMUEtWHRMUk1VT0ZUSURV?oc=5" target="_blank">Physics-informed learning of governing equations from scarce data</a>  <font color="#6f6f6f">Nature</font>

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Reduced order modeling with shallow recurrent decoder networks
Naturegeneral

Reduced order modeling with shallow recurrent decoder networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1nWkJjakQ2UWRuVzlWdHpIUUpmSThHTE1uU3p0NXNfQklyTEtGVlVnaG5NRF9PYzN5bHN3RGp2YU5FWjV6QmlBWGJ2aHNXWl9vaXFCTWpVQjM3alR5dEpv?oc=5" target="_blank">Reduced order modeling with shallow recurrent decoder networks</a>  <font color="#6f6f6f">Nature</font>

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Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation
Natureworld

Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1JTlFqNGp6ckpmTnh0UmFUckliVndGVEk4Vm5Lc3FiNVdVUm9iXy1mWDFET3dQRjY3T0RYN09MUV9IYi14OFlYRHpEMFRLUlVTalNzZUpma0ZxNllZSThj?oc=5" target="_blank">Data driven models of the Madden-Julian Oscillation: understanding its evolution and ENSO modulation</a>  <font color="#6f6f6f">Nature</font>

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Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations
Natureworld

Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB2aF9GX3NrT0EwelJreU5TaXdaMXY3d005aERuQjlsZG40VlJlQzNhZGt4c2ExSU1lcHluSHRqaFUtUVRwVTRYTEdPLVJHOEdrMUprUDVLR2dWbW51eFpJ?oc=5" target="_blank">Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations</a>  <font color="#6f6f6f">Nature</font>

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Discovery of Partial Differential Equations from Highly Noisy and Sparse Data with Physics-Informed Information Criterion
Science Partner Journalsgeneral

Discovery of Partial Differential Equations from Highly Noisy and Sparse Data with Physics-Informed Information Criterion

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5vNzdBenpxTjA5Q0M4Qm0wT0JrUW5sNnREdHBZMjFPUlpMSVNwT09ZUlUwdy13Q241ZWxaS3RqT21RYlVwZ2ktWUp3U2d1b3I5MWJkRHhtdFdUblBrSGEw?oc=5" target="_blank">Discovery of Partial Differential Equations from Highly Noisy and Sparse Data with Physics-Informed Information Criterion</a>  <font color="#6f6f6f">Science Partner Journals</font>

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Symbolic identification of tensor equations in multidimensional physical fields
Cambridge University Press & Assessmentgeneral

Symbolic identification of tensor equations in multidimensional physical fields

<a href="https://news.google.com/rss/articles/CBMilgJBVV95cUxOWTFSblcwTnFDWWc4bzlpSDJTeVRVMHRaRW1xNmQ3WTVHU0hYdnNad1IyUXVYLXFYRWZYYW8xUjVUUXBWVXVlWUpZVTZIRENDem9ab2w4bnJncG5YTllIaS1aRFhNaGlySTRfRU5lOFFuQV9RXzJjUFZvRmFNdHdDQVBOdGt3S2lDWVpYUTFOLXBjZy1Bd2czR0JJOHhQYzZ5ZWR5WnlLZXNCdUhoZlBLeV9sc21WX3FFZktmbmxWQmdhNTVFU0kyemgwZk5NUHMwOXhQTHRYa3A4SG1CaU1WRDlXd1JPc1lUSVZlQldLZjhKRkRHWHBxYmxBdjVnNktzYU8wVWNYcFMzaE4tM1J3YmtsbVVTQQ?oc=5" target="_blank">Symbolic identification of tensor equations in multidimensional physical fields</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds
Naturegeneral

Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0zU3NvRzNlNkQ5ajhyaHBFSnBUd1lVT0VFMnZRUUVXWFVybXJHeE1PUjJtWjRvMlFkTWV6OU43bWdUTHFlRGhsSEZoc2lDX0U2eTZPQkRnanE1QTk5QkxR?oc=5" target="_blank">Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds</a>  <font color="#6f6f6f">Nature</font>

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Generative discovery of partial differential equations by learning from math handbooks
Naturegeneral

Generative discovery of partial differential equations by learning from math handbooks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ST3pYWEtnb3htWlVKNnI2REZWZV9YcndBUTJLdHpFeEs4bEtXMmxMMHU1cm1LeHpMMHM4M05NQkJIRHR0WjZadVhBQ2JTMWR1TEFaOC1lRU9ZeTNaelNV?oc=5" target="_blank">Generative discovery of partial differential equations by learning from math handbooks</a>  <font color="#6f6f6f">Nature</font>

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On sparse regression, Lp‐regularization, and automated model discovery
Wiley Online Librarygeneral

On sparse regression, Lp‐regularization, and automated model discovery

<a href="https://news.google.com/rss/articles/CBMiaEFVX3lxTE5pclpIU3dQanVIcS03MS04OGhmZDJ5ZjF2MVNoMTN0VlQwY1ZRVmEzcnVJYW1CY1VPbzNYYVpHZWlwbkxfNEpNM3R2a3hRSHlWUkdZQjZPZ29VT0JxdmtlNlJ4ck5JTEla?oc=5" target="_blank">On sparse regression, Lp‐regularization, and automated model discovery</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Data-driven discovery of partial differential equations
Science | AAASgeneral

Data-driven discovery of partial differential equations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uWWY4QVRUTGR0QTBHV3hqdG1HOHJESGw3MjlZME5pWTdIeWl0dzREVTNPVzRVdUpxQ05RNW5WVXpPLU12Sk5JSnBfVUQ4NFEwdkxoYWJnSTJmQUZQbVlz?oc=5" target="_blank">Data-driven discovery of partial differential equations</a>  <font color="#6f6f6f">Science | AAAS</font>

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