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Nosé–Hoover thermostat

Nosé–Hoover thermostat is a chemistry topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Nosé–Hoover thermostat rather than just read about it. In short: The Nosé–Hoover thermostat is a deterministic algorithm for constant-temperature molecular dynamics simulations. It was originally developed by Shuichi Nosé and was improved further by William G.

Key takeaways

  • Nosé–Hoover thermostat belongs to chemistry; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Nosé–Hoover thermostat to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Nosé–Hoover thermostat from memory before moving on to harder problems.

Reference excerpt

The Nosé–Hoover thermostat is a deterministic algorithm for constant-temperature molecular dynamics simulations. It was originally developed by Shuichi Nosé and was improved further by William G. Hoover. Although the heat bath of Nosé–Hoover thermostat consists of only one imaginary particle, simulation systems achieve realistic constant-temperature condition (canonical ensemble). Therefore, the Nosé–Hoover thermostat has been commonly used as one of the most accurate and efficient methods for constant-temperature molecular dynamics simulations.

Introduction In classical molecular dynamics, simulations are done in the microcanonical ensemble; a number of particles, volume, and energy have a constant value. In experiments, however, the temperature is generally controlled instead of the energy. The ensemble of this experimental condition is called a canonical ensemble. Importantly, the canonical ensemble is different from microcanonical ensemble from the viewpoint of statistical mechanics. Several methods have been introduced to keep the temperature constant while using the microcanonical ensemble. Popular techniques to control temperature include velocity rescaling, the Andersen thermostat, the Nosé–Hoover thermostat, Nosé–Hoover chains, the Berendsen thermostat and Langevin dynamics. The central idea is to simulate in such a way that we obtain a canonical ensemble, where we fix the particle number N {\displaystyle N} , the volume V {\displaystyle V} and the temperature T {\displaystyle T} . This means that these three quantities are fixed and do not fluctuate. The temperature of the system is connected to the average kinetic energy via the equation:

⟨ E k i n ⟩ = 3 2 N k B T . {\displaystyle \langle E_{\mathrm {kin} }\rangle ={\frac {3}{2}}Nk_{\mathrm {B} }T.}

Although the temperature and the average kinetic energy are fixed, the instantaneous kinetic energy fluctuates (and with it the velocities of the particles).

Description In the approach of Nosé, a Hamiltonian with an extra degree of freedom for heat bath, s, is introduced;

H ( P , R , p s , s ) = ∑ i p i 2 2 m s 2 + 1 2 ∑ i j , i ≠ j U ( r i − r j ) + p s 2 2 Q + g k T ln ⁡ ( s ) , {\displaystyle {\mathcal {H}}(P,R,p_{s},s)=\sum _{i}{\frac {\mathbf {p} _{i}^{2}}{2ms^{2}}}+{\frac {1}{2}}\sum _{ij,i\not =j}U\left(\mathbf {r_{i}} -\mathbf {r_{j}} \right)+{\frac {p_{s}^{2}}{2Q}}+gkT\ln \left(s\right),}

where g is the number of independent momentum degrees of freedom of the system, R and P represent all coordinates r i {\displaystyle \mathbf {r_{i}} } and p i {\displaystyle \mathbf {p_{i}} } and Q is a parameter which determines the timescale on which the rescaling occurs. Improper choice of Q can lead to ineffective thermostatting or the introduction of nonphysical temperature oscillations. The coordinates R, P and t in this Hamiltonian are virtual. They are related to the real coordinates as follows:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Nosé–Hoover thermostat

Start with the simplest possible case. Write down what Nosé–Hoover thermostat claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In chemistry, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Nosé–Hoover thermostat before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Nosé–Hoover thermostat ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Nosé–Hoover thermostat

In research
Nosé–Hoover thermostat appears in chemistry research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Nosé–Hoover thermostat in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Nosé–Hoover thermostat is common in secondary-school and first-year university syllabi. It links to neighbouring topics Molecular dynamics, so understanding it makes those chapters shorter.
In everyday life
Look for Nosé–Hoover thermostat outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Nosé–Hoover thermostat in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Nosé–Hoover thermostat means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Nosé–Hoover thermostat out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Nosé–Hoover thermostat in simple terms?

The Nosé–Hoover thermostat is a deterministic algorithm for constant-temperature molecular dynamics simulations. It was originally developed by Shuichi Nosé and was improved further by William G.

Why does Nosé–Hoover thermostat matter?

Because it connects several chemistry ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Nosé–Hoover thermostat?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Nosé–Hoover thermostat.

Tags

  • Molecular dynamics

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