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Forced vibration responses and modal properties were predicted using a numerical model.
Physicochemical properties were predicted using a bioinformatics tool (ProtParam in Expasy ProtParam) (Chaparro and Da Silva Junior 2016).
Starting from elastic constants of constituents (i.e. fibre and matrix), ply-level effective material properties were predicted using a micro-mechanical unit-cell model, with ply's effective properties assigned to each tow in a meso-mechanical model of braided composites.
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In this research, the rheological properties of fresh state mortar were evaluated depending on various mean sizes of fine aggregate, and the rheological properties were predicted using the Krieger Dougherty model.
Native local protein structure properties were predicted using NetSurfP [9].
The barrier properties of the PP/EVOH extruded blends were predicted using a hybrid diffusion model that takes into account the morphology of the blends.
These properties are predicted using Phyre2.
Effective material properties are predicted using the Mori–Tanaka model and taken as temperature-dependent.
These GSF properties are predicted using the simple and especially the pure alias shear deformations on the basal (0 0 0 1) plane and along the [10¯10] direction of the hexagonal close-packed (hcp) lattice.
Geometries, energies, supramolecular interactions and other properties are predicted using density functional theory methods.
In this respect, simulations of nuclear magnetic resonance properties performed directly on μCT images are very important, since petrophysical properties can be predicted using a realistic model for the heterogeneous porous structure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com