empirical constant

简明释义

经验常数

英英释义

An empirical constant is a fixed value derived from experimental data that is used to describe a particular phenomenon or relationship in scientific studies.

经验常数是从实验数据中得出的固定值,用于描述科学研究中特定现象或关系。

例句

1.Researchers often rely on empirical constants (经验常数) derived from experimental data to validate their theories.

研究人员常常依赖于从实验数据中得出的empirical constants (经验常数)来验证他们的理论。

2.In many engineering calculations, the density of water is used as an empirical constant (经验常数) to simplify the analysis.

在许多工程计算中,水的密度被用作empirical constant (经验常数)以简化分析。

3.The value of the speed of light in a vacuum is often treated as an empirical constant (经验常数) in physics.

真空中光速的值在物理学中常被视为一个empirical constant (经验常数)。

4.In thermodynamics, the ideal gas law incorporates several empirical constants (经验常数) that apply under specific conditions.

在热力学中,理想气体定律包含几个在特定条件下适用的empirical constants (经验常数)。

5.The empirical constant (经验常数) for the gravitational force helps scientists predict the behavior of objects in space.

重力的empirical constant (经验常数)帮助科学家预测太空中物体的行为。

作文

In the realm of scientific research, the term empirical constant refers to a value that is derived from observed data rather than theoretical predictions. These constants play a crucial role in various fields such as physics, chemistry, and engineering, where they provide essential benchmarks for validating models and theories. For instance, in thermodynamics, the ideal gas constant is an example of an empirical constant, as it is determined through experiments involving gas behavior under various conditions. This constant allows scientists to predict how gases will react when subjected to changes in temperature and pressure.The significance of empirical constants lies in their ability to bridge the gap between theory and practice. While mathematical models can provide a framework for understanding natural phenomena, it is often the case that these models must be adjusted based on real-world observations. For example, in the field of fluid dynamics, researchers may develop equations to describe the flow of fluids. However, the coefficients used in these equations are frequently empirical constants that have been established through extensive experimentation.Moreover, empirical constants can vary depending on the context and the specific conditions under which they are measured. This variability highlights the importance of conducting rigorous experiments to ensure that the constants used in calculations are accurate and applicable to the situation at hand. In climate science, for instance, certain empirical constants related to greenhouse gas emissions are critical for modeling climate change impacts. Accurate values are necessary for making reliable predictions about future climate scenarios, which can inform policy decisions and public awareness efforts.The process of determining empirical constants often involves statistical analysis and the collection of large datasets. Researchers gather data from experiments, field studies, or observational studies, and then use this information to calculate the constants that best fit the observed outcomes. This process can be complex and requires a deep understanding of both the underlying science and the statistical methods employed.In conclusion, empirical constants are indispensable tools in scientific inquiry, providing a foundation upon which theories can be tested and validated. They serve as a reminder that while theoretical frameworks are essential for understanding the world, the reality of scientific research often demands adjustments based on empirical evidence. As we continue to explore the complexities of our universe, the role of empirical constants will remain vital in guiding our understanding and informing our decisions. Without these constants, our scientific endeavors would lack the precision and reliability necessary for meaningful progress.

在科学研究领域,术语经验常数指的是通过观察数据而非理论预测得出的数值。这些常数在物理、化学和工程等多个领域中发挥着至关重要的作用,为验证模型和理论提供了基本基准。例如,在热力学中,理想气体常数就是一个经验常数的例子,因为它是通过涉及气体在各种条件下行为的实验确定的。这个常数使科学家能够预测气体在温度和压力变化时的反应。经验常数的重要性在于它们能够弥合理论与实践之间的差距。虽然数学模型可以为理解自然现象提供框架,但通常情况下,这些模型必须根据现实世界的观察进行调整。例如,在流体动力学领域,研究人员可能会开发描述流体流动的方程。然而,这些方程中使用的系数通常是通过广泛实验建立的经验常数。此外,经验常数可能会因上下文和测量条件的不同而有所变化。这种变异性突显了进行严格实验的重要性,以确保在计算中使用的常数是准确的,并适用于特定情况。在气候科学中,某些与温室气体排放相关的经验常数对建模气候变化影响至关重要。准确的数值对于对未来气候情景进行可靠预测是必要的,这可以为政策决策和公众意识努力提供信息。确定经验常数的过程通常涉及统计分析和大量数据集的收集。研究人员从实验、实地研究或观察研究中收集数据,然后利用这些信息计算出最符合观察结果的常数。这个过程可能很复杂,需要对基础科学和所采用的统计方法有深入的理解。总之,经验常数是科学探究中不可或缺的工具,为理论的测试和验证提供了基础。它们提醒我们,尽管理论框架对于理解世界至关重要,但科学研究的现实往往需要根据经验证据进行调整。随着我们继续探索宇宙的复杂性,经验常数的作用将在指导我们的理解和告知我们的决策中保持至关重要。没有这些常数,我们的科学努力将缺乏实现有意义进展所需的精确性和可靠性。

相关单词

empirical

empirical详解:怎么读、什么意思、用法