NNEoS: Neural network-based thermodynamically consistent equation of state for fast and accurate flash calculations

J Qu, S Yousef, T Faney, JC de Hemptinne, P Gallinari - Applied Energy, 2024 - Elsevier
Equations of state (EOS) correlate thermodynamic properties and are essential for flash
calculations. However, solving for an EOS can be time-consuming, and EOS do not …

Clustering-Enhanced Deep Learning Method for Computation of Full Detailed Thermochemical States via Solver-Based Adaptive Sampling

X Chen, C Mehl, T Faney, F Di Meglio - Energy & Fuels, 2023 - ACS Publications
Detailed chemistry computations are indispensable in numerous complex simulation tasks,
which focus on accurately capturing the ignition process or predicting pollutant levels. The …

Symmetric color image encryption using a novel cross–plane joint scrambling–diffusion method

B Ge, Z Shen, X Wang - Symmetry, 2023 - mdpi.com
Motivated by the pursuit of both encryption efficiency and security, this paper presents a
symmetric color image encryption algorithm using a novel cross–plane joint scrambling …

Data-driven guided physics-informed segmented neural network for liquid–vapor flash calculation

J Hua, X Du, F Yang, D Lu - Physics of Fluids, 2024 - pubs.aip.org
Liquid–vapor phase equilibrium is ubiquitous in industrial and engineering field, which
involves the flash calculation. The conventional flash calculation is solved with the numerical …

Enhancing the accuracy of physics-informed neural network surrogates in flash calculations using sparse grid guidance

Y Wu, S Sun - Fluid Phase Equilibria, 2024 - Elsevier
Flash calculations pose a significant performance bottleneck in compositional-flow
simulations. While sparse grids have helped mitigate this bottleneck by shifting it to the …

Carnot: a thermodynamic library for energy industries

JC de Hemptinne, N Ferrando… - … and Technology for …, 2023 - ifp.hal.science
For more than twenty years, IFP Energies Nouvelles has been developing the
thermodynamic library Carnot. While devoted to the origin of the oil and gas industry, Carnot …

Vectorized Numerical Algorithms to Solve Internal Problems of Computational Fluid Dynamics

K Volkov - Algorithms, 2024 - mdpi.com
The opportunities provided by new information technologies, object-oriented programming
tools, and modern operating systems for solving boundary value problems in CFD described …

[PDF][PDF] Enhancing the Accuracy of Physics

Y Wu, S Sun - 2023 - repository.kaust.edu.sa
Flash calculations pose a significant performance bottleneck in compositional-flow
simulations. While sparse grids have helped mitigate this bottleneck by shifting it to the …

Machine learning applied to the computation of chemical source terms in reacting flows

X Chen - 2024 - pastel.hal.science
This thesis deals with the acceleration of chemical kinetics calculations in CFD simulations
by relying of machine learning methods. The principle is to replace the resolution of the …

Modeling of dual-fuel jet break-up, phase change, and mixing

H Gaballa - 2023 - theses.hal.science
The recent stringent emissions legislation poses new challenges to the continued use of
diesel-powered internal combustion engines due to their carbon dioxide emissions and …