Taking the shock out of predicting shock wave behavior with precise computational modeling

Shock waves should not be shocking—engineers across scientific fields need to be able to precisely predict how the instant ...
IEEE

Bootstrapped Gaussian Mixture Model-Based Data-Driven Forward Stochastic Reachability Analysis

Abstract: We propose a data-driven forward stochastic reachability analysis algorithm for a system with unknown dynamics. In this letter, we assume a limited number of trajectory data is available and ...

Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Risk.net

Jiawei Huo

Huo is a Director in the Markets Quantitative Analysis division at Citigroup Global Markets, based in Hong Kong. He transitioned to finance from a theoretical condensed matter physicist, holding a PhD ...

Generation of harmful slow electrons in water is a race between intermolecular energy decay and proton transfer

When high-energy radiation interacts with water in living organisms, it generates particles and slow-moving electrons that ...
The Lancet

Compound and cascading effects of climatic extremes on dengue outbreak risk in the Caribbean: an impact-based modelling framework with long-lag and short-lag interactions

mDepartment of Geography, University of Florida, Gainesville, FL, USA nEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA ...
IEEE

Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction

Abstract: Diffusion model has emerged as a potential tool to tackle the challenge of sparse-view CT reconstruction, displaying superior performance compared to conventional methods. Nevertheless, ...