activity
20192026
most citedFine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations

28 citations · 89 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2026

Quantum simulation of real-world nonlinear dynamics via Koopman method

Baoyang Zhang, Dong An, Zhaoyuan Meng +4

Nonlinear dynamics is ubiquitous in nature, ranging from chemical pattern formation to ocean circulation, yet its simulation on quantum computers is fundamentally limited by the un…

quant-ph2026

Airfoil shape optimization via coherent Ising machine

Hao Ni, Qi Gao, Zhen Lu +1

Airfoil shape optimization presents a challenge where classical solvers frequently struggle with computational efficiency and local minima. In the promising paradigm of quantum com…

quant-ph2025

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…

cs.SE2025

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…

quant-ph2025

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…

quant-ph2025

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…

physics.flu-dyn2025★ 28 cited

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…

physics.flu-dyn2024★ 1 cited

Synergy of turbulence and thermo-diffusive effects on the intermittent boundary-layer flashback of swirling flames

Shiming Zhang, Zhen Lu, Yue Yang

We simulated the intermittent boundary-layer flashback (BLF) of hydrogen-enriched swirling flames using large-eddy simulation (LES) with the flame-surface-density (FSD) method. Thr…

physics.flu-dyn2024★ 10 cited

Generative prediction of flow fields around an obstacle using the diffusion model

Jiajun Hu, Zhen Lu, Yue Yang

We propose a geometry-to-flow diffusion model that utilizes obstacle shape as input to predict a flow field around an obstacle. The model is based on a learnable Markov transition…

physics.flu-dyn2023★ 21 cited

Quantum computing of reacting flows via Hamiltonian simulation

Zhen Lu, Yue Yang

We report the quantum computing of reacting flows by simulating the Hamiltonian dynamics. The scalar transport equation for reacting flows is transformed into a Hamiltonian system,…

physics.flu-dyn2023★ 21 cited

Modeling the boundary-layer flashback of premixed hydrogen-enriched swirling flames at high pressures

Shiming Zhang, Zhen Lu, Yue Yang

We model the boundary-layer flashback (BLF) of CH/H/air swirling flames via large-eddy simulations with the flame-surface-density method (LES-FSD), in particular, at high p…

physics.flu-dyn2021★ 7 cited

A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions

Zhen Lu, Yue Yang

We propose a predictive model of the turbulent burning velocity over a wide range of conditions. The model consists of sub models of the stretch factor and the turbulent flame area…

physics.flu-dyn2019★ 1 cited

Modeling pressure effects on the turbulent burning velocity for lean hydrogen/air premixed combustion

Zhen Lu, Yue Yang

We investigate and model pressure effects on the turbulent burning velocity over a wide range of pressures and turbulence intensities with the direct numerical simulation (DNS) of…