activity
20192026
most citedData-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

physics.comp-ph2026

CodeJeNN: A simple C++ neural network generator for physics applications

Jay Arcities, Pavel Popov, Eric J Ching +2

Machine learning has shown speedups for numerical methods in physics applications, but integrating Python-based libraries into high-performance C++ solvers creates performance bott…