Notice bibliographique
Résumé
Axel Lorke’s Quick Study in the May 2021 issue of Physics Today (page 66) describes Svante Arrhenius’s illustrious career and provides important insight into Arrhenius’s quantitative description of thermally induced processes. Lorke describes the broad power of the famous Arrhenius relationship a=Aexp(−Ea/kBT), where kB is the Boltzmann constant and T is absolute temperature, to capture complex physics with temperature-dependent measurements aimed at the extraction of a single parameter, the activation energy Ea. Presenting an example from thermodynamics and another from kinetics, he shows how Ea connects closely to independently determined quantities such as a semiconductor’s bandgap energy and the UV-induced gelation energy of proteins.The Quick Study focuses on the slope of logarithmic plots of rates and other temperature-dependent quantities versus inverse temperature 1/T. In kinetics, the prefactor A of the exponential also provides important physical information. It may be obtained by extrapolating an Arrhenius line like that of figure 3 in Lorke’s Quick Study to yield an intercept at the 1/kBT=0 axis. If the quantity measured is the frequency of a process, as is often the case in solid-state physics, the prefactor A can be called the attempt frequency, with A−1 being the limiting time required to surmount the activation barrier as the temperature approaches infinity. In textbook examples, for small Ea, this approach yields plausible values for such frequencies. Further, if the Ea of such a process is modified only slightly, the intercept does not change.Starting with reports by Frederick Hurn Constable11. F. H. Constable, Proc. R. Soc. London A 108, 355 (1925). https://doi.org/10.1098/rspa.1925.0081 in 1925 and by Wilfried Meyer and Hans Neldel22. W. Meyer, H. Neldel, Phys. Z. 38, 1014 (1937). in 1937, researchers have done a great number of experiments on sets of closely related materials and systems in which the prefactor of Arrhenius plots of a related set varies systematically with Ea. While care must be taken to avoid artifacts, it has been clear for some time that the phenomenon is real.33. W. Linert, Collect. Czech. Chem. Commun. 55, 21 (1990). https://doi.org/10.1135/cccc19900021 For a wide-ranging variety of sets of related physical, geological, biological, and chemical phenomena, the logarithms of those intercepts vary linearly with Ea. That also means the Arrhenius fit lines cross at an isokinetic temperature at which the rate is independent of Ea. Those observations have various names: the isokinetic rule, the compensation law (because the increase in the prefactor partially compensates for the increase in Ea), and the Meyer–Neldel rule.The meaning and explanation of the Meyer–Neldel rule were long considered to be a mystery, but work by a number of groups in the final decades of the past millennium provided a clear theoretical framework for both kinetic and equilibrium systems. The key to activation is not the energy or enthalpy; it is the free-energy change, which includes an entropy term. When the activation barrier is large, the entropy change increases with Ea, and that increases A.In 2006 one of us (Yelon) coauthored a review of the state of the art in experiment and theory,44. A. Yelon, B. Movaghar, R. S. Crandall, Rep. Prog. Phys. 69, 1145 (2006). https://doi.org/10.1088/0034-4885/69/4/R04 which have continued to evolve since. Systematic studies yield information concerning the characteristic energy of the collective excitations—phonons or local vibrations—that are aggregated to surmount the activation barrier.55. A. Yelon, B. Movaghar, H. M. Branz, Phys. Rev. B 46, 12244 (1992). https://doi.org/10.1103/PhysRevB.46.12244 In some cases, notably studies of electronic or ionic conductivity, important information concerning mechanisms can be obtained. Like the Arrhenius relation that spawned it, the Meyer–Neldel rule is an elegant way to gain insight into the fundamental interactions governing temperature-dependent processes.ReferencesSection:ChooseTop of pageReferences <<1. F. H. Constable, Proc. R. Soc. London A 108, 355 (1925). https://doi.org/10.1098/rspa.1925.0081, Google ScholarCrossref2. W. Meyer, H. Neldel, Phys. Z. 38, 1014 (1937). Google Scholar3. W. Linert, Collect. Czech. Chem. Commun. 55, 21 (1990). https://doi.org/10.1135/cccc19900021, Google ScholarCrossref4. A. Yelon, B. Movaghar, R. S. Crandall, Rep. Prog. Phys. 69, 1145 (2006). https://doi.org/10.1088/0034-4885/69/4/R04, Google ScholarCrossref, ISI5. A. Yelon, B. Movaghar, H. M. Branz, Phys. Rev. B 46, 12244 (1992). https://doi.org/10.1103/PhysRevB.46.12244, Google ScholarCrossref, ISI© 2021 American Institute of Physics.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,006 | 0,015 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,071 | 0,038 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».