Polymer Nanocomposite Materials Based on Carbon Nanotubes
Notice bibliographique
Résumé
IntroductionIn the past two decades, mobile devices have decreased significantly in size and yet their capabilities and storage capacities continue to grow dramatically.Not unexpectedly, the energy demands of these devices are rather substantial, which has led to a huge increase in the level of research into batteries.In recent years, millions of dollars of research funding have been directed towards the development of more efficient battery systems, with a large focus on lithium ion batteries.These batteries are among the most popular for devices with high energy demands due to their high energy capacities.However, despite the impressive performance of lithium ion batteries to date, there is still significant room for improvement.Lithium ion batteries have progressed significantly since they were first developed in the early 1970s.These early systems consisted of lithium metal anodes combined with titanium disulfide cathodes; however, they demonstrated limited cell potentials and these chalcogenidic cathodes were soon replaced by layered oxide systems (Whittingham, 1976).Many such layered oxides were studied by the Goodenough group (Thackeray et al., 1983;Mizushima et al., 1980) with great success which led to the commercialization of these batteries in the early 1990s.These batteries were marketed by the electronics giant, the Sony Corporation, and they consisted of a lithium cobalt dioxide, LiCoO 2 , cathode and a graphitic anode (Nazri & Pistoia, 2004).Lithium metal anodes were discarded earlier in favour of safer systems such as graphite due to the dangers associated with recharging.In the years since the commercialization of lithium ion batteries, there have been many modifications to the three components of the cell: the anode, the cathode and the electrolyte.However, due to the low cost and relative efficiency of graphite as the anode system, very little work has been done in this area.Nonetheless, recently, silicon and germanium nanowires have demonstrated great potential as possible anode materials (Chan et al., 2008a;Chan et al., 2008b).It has long been known that silicon has a greater capacity for lithium ions than does graphite; however, previous attempts employing silicon particles and thin films have demonstrated significant degradation of the materials upon cycling.With these novel nanowires, this degradation is not observed.A small increase in the diameter of the nanowires occurs upon lithium intercalation, but this expansion is reversible upon the removal of the lithium ions.Research is still continuing into these materials due to their enhanced lithium storage capacities; however, these systems are plagued by their considerable expense when compared to graphite.Therefore,
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».