Your English writing platform
Discover LudwigExact(14)
Density functional theory (DFT-D3) calculations support the experimental observations and provide a foundation for predictive modeling of IL design for optimal graphene dispersions.
The tests were conducted to (1) test a conceptual radionuclide transport model for saturated, fractured tuffs near Yucca Mountain and (2) obtain transport parameter estimates for predictive modeling of radionuclide transport.
We present the use of the developed descriptor sets for predictive modeling of Langmuir isotherms for proteins at different pH values between pH 5 and 10 and varying ionic strength in the range of 10 100 mM.
We conducted laboratory experiments and employed inverse modeling techniques to estimate effective thermal and hydraulic parameters suitable for predictive modeling of non-isothermal flow and transport from a nuclear waste repository.
It therefore requires tedious data preparation and cleaning to exploit these data for predictive modeling of ADMET properties or adverse effects.
Here in this manuscript, we describe a computational strategy for predictive modeling of small molecules with potential to inhibit specific microRNAs, based on machine learning from high-throughput screen dataset for modulators of microRNA mir-21 [13], a well studied oncomiR.
Similar(46)
The objective of this study is to present a novel tool for predictive modelling of urban growth.
The proposed framework for predictive modelling of residual stresses in non-uniformly shaped shot-peened materials allows efficient reconstruction of complete residual stress state, and provides an excellent basis for developing predictive tools for in service performance and design optimization.
These new distribution functions are considered to be valuable as a descriptive model for characterizing experimental data and as a basis for predictive models of product distribution for engineering applications.
The capability of the physically based, distributed SHETRAN catchment modelling system for predictive modelling of hypothetical future catchments is validated for the 0.94 km2 Slapton Wood catchment in southwest England.
In this paper, the preciseness of artificial neural network (ANN) for predictive modelling of G is evaluated for regional Queensland, which employed Moderate Resolution Imaging Spectroradiometer (MODIS) land-surface temperature (LST) as an effective predictor.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com