4 papers
Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation
Qi Feng, Rongjie Lai, Di Qi +1
Normalizing flow Boltzmann generators retain a tractable pushforward density, but training with forward KL depends on target samples that may be biased or omit modes. As a result,…
Jeffreys Flow: Robust Boltzmann Generators for Rare Event Sampling via Parallel Tempering Distillation
Guang Lin, Christian Moya, Di Qi +1
Sampling physical systems with rough energy landscapes is hindered by rare events and metastable trapping. While Boltzmann generators already offer a solution, their reliance on th…
An Asymptotic Approach for Modeling Multiscale Complex Fluids at the Fast Relaxation Limit
Xuenan Li, Chun Liu, Di Qi
We present a new asymptotic strategy for general micro-macro models which analyze complex viscoelastic fluids governed by coupled multiscale dynamics. In such models, the elastic s…
Resonance-Driven Intermittency and Extreme Events in Turbulent Scalar Transport with a Mean Gradient
Mustafa A Mohamad, Di Qi
We study the statistical properties of passive tracer transport in turbulent flows with a mean gradient, emphasizing tracer intermittency and extreme events. An analytically tracta…