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This sputtering process is simulated using a kinetic Monte Carlo (kMC) simulation method and its surface height evolution can be adequately described by the stochastic Kuramoto Sivashinsky equation (KSE), a fourth-order nonlinear stochastic partial differential equation (PDE).
If the process is simulated using a computer, it directly translates into lengthy computation times.
The combustion process is simulated using a detailed-chemical-kinetics model that incorporates 13 species and 74 reactions.
A methodology is proposed to diagnose the causes for the process/model mismatch (PMM) that may arise when a process is simulated using a first-principles (FP) model.
To accomplish this purpose, the process is simulated using a phenomenological mathematical model considering momentum, mass and energy balances, applied to both the catalyst particles and reactor bed, which is solved in 2D axisymmetric coordinates.
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The process is simulated using an event-driven scheme where we draw the time t at which the next person's trust in someone changes given they have interacted.
The process was simulated using a BPM tool and the results are discussed.
The process was simulated using a thermodynamic approach (concentrated parameter model) using LIBPF, a C++ process modelling library.
The inhalation process was simulated using a constant volume flow rate for both models, and the wall was set to be rigid and stationary.
The process was simulated using a model that included coupled heat and mass transfer across the vapour liquid interface as well as permeation through the pervaporation membrane.
The inhalation process was simulated using a constant volume flow rate at the end of the airway for both models, and the wall was set to be rigid and stationary.
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