Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N McGreivy, A Hakim - Nature Machine Intelligence, 2024 - nature.com
One of the most promising applications of machine learning in computational physics is to
accelerate the solution of partial differential equations (PDEs). The key objective of machine …
accelerate the solution of partial differential equations (PDEs). The key objective of machine …
Differentiable Programming for Computational Plasma Physics
NB McGreivy - 2024 - search.proquest.com
Differentiable programming allows for derivatives of functions implemented via computer
code to be calculated automatically. These derivatives are calculated using automatic …
code to be calculated automatically. These derivatives are calculated using automatic …