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8.2 Surface andLlocal Spectroscopy

2001· article· en· W1999751448 sur OpenAlexaff
G. Gremaud, E. Dupas, A.V. Kulik

Notice bibliographique

RevueMaterials science forum · 2001
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueForce Microscopy Techniques and Applications
Établissements canadiensImpact
Organismes subventionnairesnon disponible
Mots-clésMaterials scienceSpectroscopySurface (topology)Analytical Chemistry (journal)Environmental chemistryGeometryAstronomyPhysics

Résumé

récupéré en direct d'OpenAlex

Mechanical properties of solids (elasticity, anelasticity, plasticity) are generally measured onmacroscopic samples. But many phenomena in materials science ask for measurements ofmechanical properties at the surface of a material, or at the interfaces between thin layers deposited onthe surface, or with a high spatial resolution, for example in the cases of multiphased materials,composite materials, phase transitions, lattice softening in shape-memory alloys, precipitation in lightalloys, glass transition of amorphous materials, etc.In the case of multiphased materials, such as nanomaterials, composites, alloys or polymer blends,the location of the dissipative mechanism in one phase has to be done either through modeling or byseparately studying each phase, when possible without changing its behavior. The latter is onlypossible in a limited number of cases due to the interactions between the different phases within amaterial. To give an example, the global behavior of a composite is mostly driven by the stresstransfer properties between reinforcement and matrix, which are controlled by the local mechanicalproperties in the interface region, in particular by the dynamics of the structural defects in this area[1]. It is obviously impossible to prepare a sample only composed of interface regions. Therefore, amethod for locally studying the dynamics of the structural defects will thus help make importantsteps in the understanding and the improvement of such materials.Different techniques have been developed to probe the elastic and anelastic properties of surfaces,interfaces or phases of inhomogeneous materials at the micrometer and the nanometer scales. Thesetechniques are essentially based on Scanning Probe Microscopies (SPM). One of these techniques,which was first developped in the mid-1970's, is the Scanning Acoustic Microscopy (SAM), that ispresented in paragraph 9.5 and which allows one to study the materials properties at the micrometerscale.Amongst the different ways explored to study local mechanical properties of materials, severalgroups have recently used techniques based on Scanning Microscopy (SFM) [2]. For most ofthem, the focus has been placed on elasticity, using the so-called Force Modulation Mode(FMM) at low frequencies [3]. modulation mode generally uses a large amplitude (more than10 nm), low frequency (some kHz), vibration of the sample underneath the scanning forcemicroscope tip. The component of the tip motion at the excitation frequency and the tip mean positionare simultaneously recorded, giving several images of the sample surface. In particular, the in-phaseand out-of-phase components of force modulation mode at room temperatures have been interpretedin terms of stiffness (elasticity) and damping (viscoelasticity) [4,5]. However, it has beenrecently shown [6] that the contrast of force modulation mode is dominated by friction properties,and gives only little information on the elasticity. Consequently, some care has to be taken in theinterpretation of these low-frequency studies. A way to suppress this influence of friction on thecontrast is to use smaller amplitudes (some A) at higher frequencies [7]. Scanning Local-Acceleration Microscopy (SLAM) implements this idea [8]: SLAM is a modification of contact-modescanning force microscopy. Its principle is to vibrate the sample at a frequency just above theresonance of the tip-sample system. In this case, the inertia of the tip prevents it from completelyfollowing the imposed displacement, inducing non-negligible forces and giving rise to elasticdeformation of the sample. Contact stiffness is obtained from the measure of the residualdisplacement of the tip. Mapping the contact stiffness at different temperatures with SLAM [9] hasopened the way towards local mechanical spectroscopy. Some other techniques also use highfrequencies, but with different approaches to image elasticity at room temperature [7,10,11]. Presenthigh-frequency techniques are appropriate to map properties such as stiffness or adhesion at constant

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,285
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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