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Natural resonance theory

Natural resonance theory 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 Natural resonance theory rather than just read about it. In short: In computational chemistry, natural resonance theory (NRT) is an iterative, variational functional embedded into the natural bond orbital (NBO) program, commonly run in Gaussian, GAMESS, ORCA, Ampac and other software packages. NRT was developed in 1997 by Frank A.

Natural resonance theory — main illustration
Natural resonance theory — illustration

Key takeaways

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

Reference excerpt

In computational chemistry, natural resonance theory (NRT) is an iterative, variational functional embedded into the natural bond orbital (NBO) program, commonly run in Gaussian, GAMESS, ORCA, Ampac and other software packages. NRT was developed in 1997 by Frank A. Weinhold and Eric D. Glendening, chemistry professors at University of Wisconsin-Madison and Indiana State University, respectively. Given a list of NBOs for an idealized natural Lewis structure, the NRT functional creates a list of Lewis resonance structures and calculates the resonance weights of each contributing resonance structure. Structural and chemical properties, such as bond order, valency, and bond polarity, may be calculated from resonance weights. Specifically, bond orders may be divided into their covalent and ionic contributions, while valency is the sum of bond orders of a given atom. This aims to provide quantitative results that agree with qualitative notions of chemical resonance. In contrast to the "wavefunction resonance theory" (i.e., the superposition of wavefunctions), NRT uses the density matrix resonance theory, performing a superposition of density matrices to realize resonance. NRT has applications in ab initio calculations, including calculating the bond orders of intra- and intermolecular interactions and the resonance weights of radical isomers.

History During the 1930s, Professor Linus Pauling and postdoctoral researcher George Wheland applied quantum-mechanical formalism to calculate the resonance energy of organic molecules. To do this, they estimated the structure and properties of molecules described by more than one Lewis structure as a linear combination of all Lewis structures:

Ψ A

i = ∑ κ a i

κ Ψ a

κ {\displaystyle \Psi {_{A}{}_{i}}=\sum _{\kappa }a{_{i}{}_{\kappa }}\Psi {_{a}{}_{\kappa }}}

where aiκ and Ψaκ denote the weight and single-electron eigenfunction from the wavefunction for a Lewis structure κ, respectively. Their formalism assumes that localized valence bond wavefunctions are mutually orthogonal.

⟨ Ψ α | Ψ β ⟩ = δ α β {\displaystyle \langle \Psi _{\alpha }|\Psi _{\beta }\rangle =\delta _{\alpha _{\beta }}}

While this assumption ensures that the sum of the weights of the resonance structures describing the molecule is one, it creates difficulties in computing aiκ. The Pauling-Wheland formalism also assumes that cross-terms from density matrix multiplication may be neglected. This facilitates the averaging of chemical properties, but, like the first assumption, is not true for actual wavefunctions. Additionally, in the case of polar bonding, these assumptions necessitate the generation of ionic resonance structures that often overlap with covalent structures. In other words, superfluous resonance structures are calculated for polar molecules. Overall, the Pauling-Wheland formulation of resonance theory was unsuitable for quantitative purposes. Glendening and Weinhold sought to create a new formalism, within their ab initio NBO program, that would provide an accurate quantitative measure of resonance theory, matching chemical intuition. To do this, instead of evaluating a linear combination of wavefunctions, they express a linear combination of density operators, Γ, (i.e., matrices) for localized structures, where the sum of all weights, ωα, is one.

Γ = ∑ α ω α Γ α {\displaystyle \Gamma =\sum _{\alpha }\omega _{\alpha }\Gamma _{\alpha }} where ω α ≥ 0 {\displaystyle \omega _{\alpha }\geq 0} and ∑ α ω α = 1 {\displaystyle \sum _{\alpha }\omega _{\alpha }=1}

In the context of NBO, the true density operator Γ represents the NBOs of an idealized natural Lewis structure. Once NRT has generated a set of density operators, Γα, for localized resonance structures, α, a least-squares variational functional is employed to quantify the resonance weights of each structure. It does this by measuring the variational error, δw, of the linear combination of resonance structures to the true density operator Γ.

δ W = m i n { ω α } ‖ Γ − ∑ α ω α Γ α ‖ {\displaystyle \delta _{W}={\underset {\{\omega _{\alpha }\}}{min}}\|\Gamma -\sum _{\alpha }\omega _{\alpha }\Gamma _{\alpha }\|}

… excerpt ends here. Continue reading the full article.

Illustrations

Natural resonance theory illustration
Natural resonance theory illustration
Natural resonance theory illustration
Natural resonance theory illustration
Natural resonance theory illustration

Worked examples

Example 1 — a first encounter with Natural resonance theory

Start with the simplest possible case. Write down what Natural resonance theory 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 Natural resonance theory 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 Natural resonance theory 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 Natural resonance theory

In research
Natural resonance theory 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 Natural resonance theory 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
Natural resonance theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational chemistry, Quantum chemistry, so understanding it makes those chapters shorter.
In everyday life
Look for Natural resonance theory 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 Natural resonance theory in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Natural resonance theory 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 Natural resonance theory out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Natural resonance theory in simple terms?

In computational chemistry, natural resonance theory (NRT) is an iterative, variational functional embedded into the natural bond orbital (NBO) program, commonly run in Gaussian, GAMESS, ORCA, Ampac and other software packages. NRT was developed in 1997 by Frank A.

Why does Natural resonance theory 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 Natural resonance theory?

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 Natural resonance theory.

Tags

  • Computational chemistry
  • Quantum chemistry

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