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Related Concept Videos

Thermal expansion and Thermal stress: Problem Solving01:27

Thermal expansion and Thermal stress: Problem Solving

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San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in temperature (ΔT) is 55...
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Temperature and Thermal Equilibrium01:11

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Heat and temperature are essential concepts for everyone every day. The study of heat and temperature is part of an area of physics known as thermodynamics. It is not always easy to distinguish heat and temperature.
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
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Temperature Dependence on Reaction Rate02:55

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The Collision Theory
Atoms, molecules, or ions must collide before they can react with each other. Atoms must be close together to form chemical bonds. This premise is the basis for a theory that explains many observations regarding chemical kinetics, including factors affecting reaction rates.
The collision theory is based on the postulates that (i) the reaction rate is proportional to the rate of reactant collisions, (ii) the reacting species collide in an orientation allowing contact between...
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Effect of Temperature Change on Reaction Rate02:28

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The Arrhenius equation,
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Thermal Stress01:09

Thermal Stress

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If the temperature of an object is changed while it is prevented from expanding or contracting, the object is subjected to stress. The stress is compressive if the object expands in the absence of constraint and tensile if it contracts. This stress resulting from temperature change is known as thermal stress. It can be quite large and can cause damage. To avoid this stress, engineers may design components so they can expand and contract freely. For instance, on highways, gaps are deliberately...
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Le Chatelier's Principle: Changing Temperature02:19

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Consistent with the law of mass action, an equilibrium stressed by a change in concentration will shift to re-establish equilibrium without any change in the value of the equilibrium constant, K. When an equilibrium shifts in response to a temperature change, however, it is re-established with a different relative composition that exhibits a different value for the equilibrium constant.
To understand this phenomenon, consider the elementary reaction:
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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Improving Temperature Generator in Parallel Tempering Simulation in the NPT Condition.

Changwon Yang1, Hyeonjun Kim2, Youngshang Pak2

  • 1Department of Chemistry, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, South Korea.

Journal of Chemical Theory and Computation
|February 8, 2020
PubMed
Summary
This summary is machine-generated.

Parallel tempering simulations accelerate molecular searches using replicas at different temperatures. This study introduces an improved temperature generation protocol to ensure uniform replica exchange probability for enhanced efficiency.

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Area of Science:

  • Computational chemistry
  • Molecular dynamics
  • Statistical mechanics

Background:

  • Parallel tempering (PT) simulations are crucial for exploring complex molecular conformations.
  • Efficient PT relies on uniform acceptance ratios across all temperature replicas.
  • Existing temperature generation schemes may not guarantee uniform exchange probabilities.

Purpose of the Study:

  • To propose an improved temperature generation (TG) protocol for parallel tempering simulations.
  • To ensure uniform acceptance ratios across all replicas in PT simulations.
  • To enhance the efficiency of conformational searches in complex molecular systems.

Main Methods:

  • Developed a novel energy distribution-based temperature generation (TG) protocol.
  • Implemented and tested the protocol within the parallel tempering simulation framework.
  • Focused on maintaining uniform replica exchange probabilities.

Main Results:

  • The proposed TG protocol effectively maintains uniform acceptance ratios across replicas.
  • Demonstrated improved conformational mixing and sampling efficiency.
  • The protocol is applicable to general parallel tempering simulations.

Conclusions:

  • The improved TG protocol enhances the performance of parallel tempering simulations.
  • This method offers a more robust approach for accelerating molecular conformational searches.
  • The findings contribute to more efficient computational molecular modeling.