DeePMD-kit v2: A software package for deep potential models
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics
simulations using machine learning potentials known as Deep Potential (DP) models. This …
simulations using machine learning potentials known as Deep Potential (DP) models. This …
Implementation and verification of an OpenFOAM solver for gas-droplet two-phase detonation combustion
H Chen, MH Zhao, H Qiu, Y Zhu - Physics of Fluids, 2024 - pubs.aip.org
Due to the complexity and short timescale of detonation, it is usually difficult to capture its
transient characteristics experimentally. Advanced numerical methods are essential for …
transient characteristics experimentally. Advanced numerical methods are essential for …
Machine learning for advancing low-temperature plasma modeling and simulation
J Trieschmann, L Vialetto… - Journal of Micro …, 2023 - spiedigitallibrary.org
Machine learning has had an enormous impact in many scientific disciplines. It has also
attracted significant interest in the field of low-temperature plasma (LTP) modeling and …
attracted significant interest in the field of low-temperature plasma (LTP) modeling and …
An integrated framework for accelerating reactive flow simulation using GPU and machine learning models
Recent progress in machine learning (ML) and high-performance computing (HPC) have
brought potentially game-changing opportunities in accelerating reactive flow simulations. In …
brought potentially game-changing opportunities in accelerating reactive flow simulations. In …
Solving multiscale dynamical systems by deep learning
Multiscale dynamical systems, modeled by high-dimensional stiff ordinary differential
equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of …
equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of …
Implementation of an OpenFOAM solver for shock and detonation simulation at high pressure
The high pressure condition widely used in industry makes it necessary to evaluate the
impact of real gas behaviour in numerical simulation, especially for shock and detonation …
impact of real gas behaviour in numerical simulation, especially for shock and detonation …
[HTML][HTML] Advanced measurement techniques for gas-solids fluidized beds in the power and energy industry-A review
X Zhu, Y Xu, Q Tu, H Che, H Wang - Measurement: Energy, 2024 - Elsevier
Gas-solids fluidized beds are widely used in the power and energy sectors for processes
such as coal and biomass combustion, as well as gasification. However, the complex and …
such as coal and biomass combustion, as well as gasification. However, the complex and …
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
Y Chen, X Zhu, H Zhou, Z Ren - arXiv preprint arXiv:2407.21320, 2024 - arxiv.org
Remarkable progress has been made in automated problem solving through societies of
agents based on large language models (LLMs). Computational fluid dynamics (CFD), as a …
agents based on large language models (LLMs). Computational fluid dynamics (CFD), as a …
Direct numerical simulations of the Taylor–Green vortex interacting with a hydrogen diffusion flame: Reynolds number and non-unity-Lewis number effects
Y Xu, ZX Chen - Physics of Fluids, 2023 - pubs.aip.org
Understanding the interactions between hydrogen flame and turbulent vortices is important
for developing the next-generation carbon neutral combustion systems. In the present work …
for developing the next-generation carbon neutral combustion systems. In the present work …
Graphics processing unit/artificial neural network-accelerated large-eddy simulation of swirling premixed flames
Within the scope of reacting flow simulations, the real-time direct integration (DI) of stiff
ordinary differential equations for the computation of chemical kinetics stands as the primary …
ordinary differential equations for the computation of chemical kinetics stands as the primary …