6 papers
A memory-efficient deterministic method for multiscale gas flows using an ensemble-of-subproblems strategy with stochastic discrete velocities
Shuyang Zhang, Weidong Li, Ming Fang +1
Deterministic multiscale gas flow simulations have long suffered from the curse of dimensionality: the number of discrete velocities increases dramatically with the velocity space…
Mitigating ray effects in rarefied flow simulations using an ensemble-of-subproblems strategy with stochastic discrete velocities
Shuyang Zhang, Weidong Li, Ming Fang +1
In this work, a ensemble-of-subproblems strategy with stochastic discrete velocities is extended to deterministic methods for mitigating ray effects in rarefied flow simulations. T…
Analysis of Nuclear Fragmentation Functions for Pions with and Dependence
Mengyang Li, Zijian Ye, Jun Gao +3
We present a QCD analysis of pion nuclear fragmentation functions (nFFs), which encode nuclear modifications to hadronization in high-energy nuclear collisions. Within this framewo…
Monte Carlo Physics-informed Neural Networks for Inverse Multiscale Heat Conduction Problems via the Phonon Boltzmann Transport Equation
Qingyi Lin, Chuang Zhang, Xuhui Meng +1
Inferring thermal fields and thermophysical properties from limited measurements is a fundamental challenge in micro- and nanoscale heat conduction, where the classical Fourier law…
Demonstrating CBM Capabilities by Baryon Reconstruction in Ni+Ni Collisions with the mCBM Experiment at SIS18 of GSI/FAIR
CBM Collaboration, A. Agarwal, Z. Ahammed +338
The Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for Antiproton and Ion Research (FAIR) is a high-rate fixed-target experiment designed to investigate nucle…
ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications
Kaixuan Wu, Yuanzhuo Xu, Zejun Zhang +4
Pedestrian inertial localization is key for mobile and IoT services because it provides infrastructure-free positioning. Yet most learning-based methods depend on fixed sliding-win…