NNEoS: Neural network-based thermodynamically consistent equation of state for fast and accurate flash calculations
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 …
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
Detailed chemistry computations are indispensable in numerous complex simulation tasks,
which focus on accurately capturing the ignition process or predicting pollutant levels. The …
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 …
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 …
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
Flash calculations pose a significant performance bottleneck in compositional-flow
simulations. While sparse grids have helped mitigate this bottleneck by shifting it to the …
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 …
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 …
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 …
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 …
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 …
diesel-powered internal combustion engines due to their carbon dioxide emissions and …