2 papers
cs.LG2026
A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
Matteo Bosso, Giovanni Franzese, Kushal Swamy +3
Modeling real-world systems requires accounting for noise - whether it arises from unpredictable fluctuations in financial markets, irregular rhythms in biological systems, or envi…
physics.app-ph2024
Finite Element-based Nonlinear Dynamic Optimization of Nanomechanical Resonators
Zichao Li, Farbod Alijani, Ali Sarafraz +4
Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the…