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physics.comp-ph2022★ 4 cited
Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models
Fabian Waschkowski, Haochen Li, Abhishek Deshmukh +5
Learning accurate numerical constants when developing algebraic models is a known challenge for evolutionary algorithms, such as Gene Expression Programming (GEP). This paper intro…
physics.comp-ph2016
Adjoint-based Optimal Flow Control for Compressible DNS
J. Javier Otero, Ati S. sharma, Richard D. Sandberg
A novel adjoint-based framework oriented to optimal flow control in compressible direct numerical simulations is presented. Also, a new formulation of the adjoint characteristic bo…