28 citations · 89 across the 13 of their papers we have counts for
5 papers · 1 filter
Modeling Noise in Quantum Computing of Scalar Convection
Jiahua Yang, Zhen Lu, Yue Yang
Quantum computing holds potential for accelerating the simulation of fluid dynamics. However, hardware noise in the noisy intermediate-scale quantum era significantly distorts simu…
CFD-copilot: leveraging domain-adapted large language model and model context protocol to enhance simulation automation
Zhehao Dong, Shanghai Du, Zhen Lu +1
Configuring computational fluid dynamics (CFD) simulations requires significant expertise in physics modeling and numerical methods, posing a barrier to non-specialists. Although a…
Quantum computing of nonlinear reacting flows via the probability density function method
Jizhi Zhang, Ziang Yang, Zhaoyuan Meng +2
Quantum computing offers the promise of speedups for scientific computations, but its application to reacting flows is hindered by nonlinear source terms, the challenges of time-de…
Data-driven quantum Koopman method for simulating nonlinear dynamics
Baoyang Zhang, Zhen Lu, Yaomin Zhao +1
Quantum computation offers potential exponential speedups for simulating certain physical systems, but its application to nonlinear dynamics is inherently constrained by the requir…
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
Zhehao Dong, Zhen Lu, Yue Yang
Configuring computational fluid dynamics (CFD) simulations typically demands extensive domain expertise, limiting broader access. Although large language models (LLMs) have advance…