Born–Oppenheimer approximation
E1297
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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Born–Oppenheimer approximation canonical | 11 |
| Born–Oppenheimer molecular dynamics | 1 |
| Born–Oppenheimer separation of variables | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T18924 — 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.
Target entity: Born–Oppenheimer approximation Context triple: [Julius Robert Oppenheimer, notableIdea, Born–Oppenheimer approximation]
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A.
Oppenheimer–Phillips process
The Oppenheimer–Phillips process is a nuclear reaction mechanism in which a deuteron interacting with a target nucleus effectively transfers its neutron while the proton is repelled, enabling certain reactions to occur at lower energies than would otherwise be required.
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B.
Nash embedding theorem
The Nash embedding theorem is a fundamental result in differential geometry that shows any Riemannian manifold can be isometrically embedded into some Euclidean space, thereby realizing abstract curved spaces as concrete subsets of standard Euclidean space.
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C.
Moore
Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
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D.
Differential analyzer
The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
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E.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Born–Oppenheimer approximation Target entity description: 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.
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A.
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.
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B.
Oppenheimer–Phillips process
The Oppenheimer–Phillips process is a nuclear reaction mechanism in which a deuteron interacting with a target nucleus effectively transfers its neutron while the proton is repelled, enabling certain reactions to occur at lower energies than would otherwise be required.
-
C.
Nash embedding theorem
The Nash embedding theorem is a fundamental result in differential geometry that shows any Riemannian manifold can be isometrically embedded into some Euclidean space, thereby realizing abstract curved spaces as concrete subsets of standard Euclidean space.
-
D.
Moore
Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
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E.
Feynman Lectures on Physics
Feynman Lectures on Physics is a renowned three-volume introductory physics textbook based on Richard Feynman’s legendary Caltech lectures, celebrated for its clarity, depth, and engaging style.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
molecular quantum mechanics method
ⓘ
quantum mechanical approximation ⓘ theoretical chemistry concept ⓘ |
| appliesTo |
molecular ions
ⓘ
molecules ⓘ polyatomic molecules ⓘ |
| approximationType |
adiabatic approximation
ⓘ
clamped-nuclei approximation ⓘ |
| assumes |
electronic wavefunction depends parametrically on nuclear coordinates
ⓘ
nuclear kinetic energy operator can be neglected in electronic problem ⓘ |
| basedOnAssumption |
electronic and nuclear motions can be separated
ⓘ
nuclei move much more slowly than electrons ⓘ |
| coreIdea |
electrons adjust instantaneously to nuclear positions
ⓘ
separation of electronic and nuclear wavefunctions ⓘ |
| enables |
calculation of molecular electronic structure
ⓘ
definition of potential energy surfaces ⓘ vibrational and rotational spectroscopy analysis ⓘ |
| field |
molecular physics
ⓘ
quantum chemistry ⓘ theoretical chemistry ⓘ |
| hasLimitation |
breaks down for strong nonadiabatic couplings
ⓘ
breaks down near conical intersections ⓘ less accurate for highly excited electronic states ⓘ less accurate for light nuclei such as hydrogen ⓘ |
| hasRefinement |
Born–Huang expansion
ⓘ
diabatic representation methods ⓘ nonadiabatic coupling corrections ⓘ |
| historicalPublicationYear | 1927 ⓘ |
| importantFor |
chemical reaction dynamics
ⓘ
computational chemistry ⓘ interpretation of molecular spectra ⓘ photochemistry ⓘ solid-state physics models of lattice vibrations ⓘ |
| introducedIn | paper by Max Born and J. Robert Oppenheimer ⓘ |
| namedAfter |
J. Robert Oppenheimer
ⓘ
Max Born ⓘ |
| relatedConcept |
adiabatic potential energy surface
ⓘ
conical intersection ⓘ nonadiabatic transitions ⓘ vibronic coupling ⓘ |
| resultsIn |
effective nuclear Hamiltonian on a potential energy surface
ⓘ
separate electronic and nuclear Schrödinger equations ⓘ |
| usedIn |
Born–Oppenheimer approximation
self-linksurface differs
ⓘ
surface form:
Born–Oppenheimer molecular dynamics
Franck–Condon principle ⓘ Hartree–Fock calculations ⓘ ab initio quantum chemistry ⓘ density functional theory ⓘ molecular dynamics simulations ⓘ vibronic coupling analysis ⓘ |
How these facts were elicited
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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.
Subject: Born–Oppenheimer approximation Description of subject: 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.
Referenced by (13)
Full triples — surface form annotated when it differs from this entity's canonical label.