Huang–Rhys factor
E27438
The Huang–Rhys factor is a dimensionless parameter in solid-state and molecular spectroscopy that quantifies the strength of electron–phonon (vibronic) coupling during electronic transitions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Huang–Rhys factor canonical | 3 |
| Fröhlich interaction | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T210290 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huang–Rhys factor Context triple: [Franck–Condon principle, relatedTo, Huang–Rhys factor]
-
A.
Franck–Condon principle
The Franck–Condon principle is a rule in molecular spectroscopy that explains the intensity distribution of vibronic transitions by assuming electronic transitions occur much faster than nuclear motion, making vertical transitions between vibrational states most probable.
-
B.
Rayleigh–Schrödinger perturbation theory
Rayleigh–Schrödinger perturbation theory is a fundamental method in quantum mechanics for approximating the energies and states of a system by treating interactions as small corrections to an exactly solvable problem.
-
C.
Feynman–Hellmann theorem
The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
-
D.
Born–Huang expansion
The Born–Huang expansion is a quantum mechanical method that systematically improves upon the Born–Oppenheimer approximation by including couplings between electronic and nuclear motions in molecular systems.
-
E.
Born–Oppenheimer approximation
The Born–Oppenheimer approximation is a fundamental method in molecular quantum mechanics that simplifies calculations by treating nuclear motion as much slower than electronic motion, allowing their behaviors to be separated.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huang–Rhys factor Target entity description: The Huang–Rhys factor is a dimensionless parameter in solid-state and molecular spectroscopy that quantifies the strength of electron–phonon (vibronic) coupling during electronic transitions.
-
A.
Franck–Condon principle
The Franck–Condon principle is a rule in molecular spectroscopy that explains the intensity distribution of vibronic transitions by assuming electronic transitions occur much faster than nuclear motion, making vertical transitions between vibrational states most probable.
-
B.
Rayleigh–Schrödinger perturbation theory
Rayleigh–Schrödinger perturbation theory is a fundamental method in quantum mechanics for approximating the energies and states of a system by treating interactions as small corrections to an exactly solvable problem.
-
C.
Feynman–Hellmann theorem
The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
-
D.
Born–Huang expansion
The Born–Huang expansion is a quantum mechanical method that systematically improves upon the Born–Oppenheimer approximation by including couplings between electronic and nuclear motions in molecular systems.
-
E.
Born–Oppenheimer approximation
The Born–Oppenheimer approximation is a fundamental method in molecular quantum mechanics that simplifies calculations by treating nuclear motion as much slower than electronic motion, allowing their behaviors to be separated.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
dimensionless physical quantity
ⓘ
spectroscopic parameter ⓘ |
| appearsIn | Poisson distribution of phonon sideband intensities ⓘ |
| appliesTo |
color centers in crystals
ⓘ
defect centers in solids ⓘ electronic transitions ⓘ molecular electronic spectra ⓘ optical absorption ⓘ photoluminescence ⓘ |
| dependsOn |
displacement between ground and excited state potential energy surfaces
ⓘ
effective phonon mode energy ⓘ |
| determines |
relative intensity of phonon sidebands
ⓘ
relative intensity of vibronic peaks ⓘ weight of zero-phonon line ⓘ |
| estimatedFrom |
fit to vibronic sideband intensities
ⓘ
temperature dependence of luminescence ⓘ |
| field |
molecular spectroscopy
ⓘ
optical spectroscopy ⓘ solid-state physics ⓘ |
| governs | relative probability of n-phonon transitions ⓘ |
| hasProperty | dimensionless ⓘ |
| influences |
Debye–Waller factor
ⓘ
Stokes shift ⓘ shape of optical absorption spectra ⓘ shape of optical emission spectra ⓘ |
| introducedBy |
A. M. Rhys
ⓘ
Kun Huang ⓘ |
| mathematicalRole | average number of phonons involved in an electronic transition ⓘ |
| quantifies |
electron–phonon coupling strength
ⓘ
vibronic coupling strength ⓘ |
| relatedTo |
Franck–Condon factors
ⓘ
linked to:
Franck–Condon principle
Franck–Condon principle ⓘ phonon sidebands ⓘ vibronic progression ⓘ zero-phonon line ⓘ |
| symbol | S ⓘ |
| typicalRange |
much less than 1 for weak coupling
ⓘ
of order 1 or larger for strong coupling ⓘ |
| usedIn |
color center spectroscopy
ⓘ
nitrogen-vacancy center spectroscopy ⓘ organic molecular crystals ⓘ quantum emitter characterization ⓘ rare-earth ion spectroscopy ⓘ semiconductor defect spectroscopy ⓘ single-molecule spectroscopy ⓘ |
| usedInModel |
configuration coordinate model
ⓘ
harmonic oscillator approximation ⓘ |
| yearProposed | 1950 ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Huang–Rhys factor Description of subject: The Huang–Rhys factor is a dimensionless parameter in solid-state and molecular spectroscopy that quantifies the strength of electron–phonon (vibronic) coupling during electronic transitions.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Huang–Rhys factor