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Nonlinear Dynamics, An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems is a monthly peer-reviewed scientific journal covering all nonlinear dynamic phenomena associated with mechanical, structural, civil, aeronautical, ocean, electrical, and control systems.
Journal Citation Reports (JCR) is an annual publication by Clarivate. [1] It has been integrated with the Web of Science and is accessed from the Web of Science Core Collection. It provides information about academic journals in the natural and social sciences, including impact factors. JCR was originally published as a part of the Science ...
The Journal of Computational and Nonlinear Dynamics is a quarterly peer-reviewed multidisciplinary scientific journal covering the study of nonlinear dynamics. It was established in 2006 and is published by the American Society of Mechanical Engineers. The editor-in-chief is Balakumar Balachandran (University of Maryland).
Chaos: An Interdisciplinary Journal of Nonlinear Science is a monthly peer-reviewed scientific journal covering nonlinear systems and describing their manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines. The editor-in-chief is Jürgen Kurths of the Potsdam Institute for Climate Impact Research.
Nonlinearity is a peer-reviewed scientific journal published by IOP Publishing and the London Mathematical Society.The journal publishes papers on nonlinear mathematics, mathematical physics, experimental physics, theoretical physics and other areas in the sciences where nonlinear phenomena are of fundamental importance.
Fluid Dynamics Research is a bimonthly peer-reviewed scientific journal covering all fields of fluid dynamics. Published on behalf of the Japan Society of Fluid Mechanics, from 1986 to 2008 it was published by Elsevier and since 2009 it has been published by IOP Publishing. The editor-in-chief is Genta Kawahara (Osaka University).
Download as PDF; Printable version; ... Nonlinear Processes in Geophysics is an open-access peer-reviewed scientific ... the journal has a 2020 impact factor of 1.740 ...
Sparse identification of nonlinear dynamics (SINDy) is a data-driven algorithm for obtaining dynamical systems from data. [1] Given a series of snapshots of a dynamical system and its corresponding time derivatives, SINDy performs a sparsity-promoting regression (such as LASSO and spare Bayesian inference [2]) on a library of nonlinear candidate functions of the snapshots against the ...