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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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model tests are

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "model tests are" is correct and usable in written English.
You can use it when discussing the existence or characteristics of model tests in a specific context, such as education, research, or software development. Example: "Model tests are essential for ensuring the reliability of the software before its release."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

35 human-written examples

Small scale model tests are performed.

So physical model tests are designed to study the KTMDC.

Both numerical simulations and model tests are used to verify the proposed imaging method.

In addition, physical piping model tests are numerically simulated to examine the proposed approach.

Scaled model tests are important for the development and validation of floating offshore wind turbines.

Such model tests are generally performed in the reduced scale and not on the actual working conditions.

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Human-verified similar examples from authoritative sources

Similar Expressions

25 human-written examples

A series of scaled model tests is performed for validation.

Model tests were performed to investigate the phenomenon.

Model tests were performed to the various wall friction angles, which were 0°, ϕ/3(13°), 2ϕ/3(2ϕ/3.

Model tests were conducted in the uniform sandy ground for various separation distances and wall frictions.

For each set of homologous sequences, evolutionary model tests were performed prior to phylogenetic inference.

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Expert writing Tips

Best practice

When reporting results from "model tests", clearly state the scale of the model, the materials used, and any limitations of the model in representing the real-world system.

Common error

Avoid assuming that the results from "model tests" perfectly replicate real-world conditions. Always acknowledge potential discrepancies and uncertainties arising from the simplified nature of the model.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

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83%

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Real-world application tested

Linguistic Context

The phrase "model tests are" primarily functions as a declarative statement used to introduce, describe, or explain facts related to experimental investigations. As Ludwig points out, it is employed in scientific and engineering contexts to discuss model tests.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, the phrase "model tests are" is a common and grammatically correct expression primarily used in scientific and engineering contexts. According to Ludwig, it serves to introduce and explain facts or methodologies related to experiments involving scaled-down models. Given its technical nature, the phrase maintains a formal and scientific register. While predominantly found in scientific literature, its use is essential for accurately describing and reporting on the use of models in research and development. Understanding the limitations of "model tests" and clearly stating experimental parameters will ensure best usage.

FAQs

How can I effectively use "model tests are" in a sentence?

Use "model tests are" to introduce or describe the purpose, methodology, or results of experiments conducted on scaled-down representations of real-world systems or phenomena. For example, "Model tests are essential for validating numerical simulations" or "Model tests are performed to optimize the design of offshore structures".

What are some alternatives to "model tests are"?

Depending on the specific context, alternatives could include phrases like "scale model experiments are", "physical model simulations are", or "laboratory model studies are".

In what contexts is the phrase "model tests are" most appropriate?

The phrase "model tests are" is most appropriate in scientific, engineering, and academic writing when discussing experimental investigations using scaled-down models to study various phenomena or validate theoretical predictions. It can also be found in formal business contexts when reporting research and development.

What limitations should I consider when interpreting results from "model tests are"?

When evaluating results from "model tests", it is crucial to consider the scale effects, material properties, and boundary conditions of the model, as they may not perfectly replicate real-world conditions. Therefore, caution should be exercised when extrapolating model results to full-scale applications.

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Real-world application tested

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