TiO2 and Biomaterials based Memristor Devices and its In-Memory Computing Applications
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
As information technology is moving toward a big data era, the conventional Von Neumann architecture has shown limitation in performance. This is constrained by the large volume of data being continuously fetched and stored through input-output (IO) device, which not only adds performance penalty but power penalty as well. Therefore, it is necessary to bring processing unit as close as possible to memory for minimizing data transmission. Memristors provide dual functionalities of data storage and computing at the same location without data transmission, therefore is one of the most promising candidates for energy efficient in-memory computing. However, being stochastic in nature, variations in memristor device is one of the major challenges in its use towards in-memory computing. In this thesis, we demonstrate novel memristor devices with unique characteristics, which could facilitate reprogrammable application and high-density storage. Further, we demonstrate the applications of the fabricated memristor devices for in-memory computing, with a motive for less sensitive circuits towards variations in devices. \nIn the first device, TiO2 and maple leaves (ML) are combined to form a functional layer (TiO2-ML) inside memristive devices, which demonstrate both the capacitive effect and the non-volatile storage capability. When the voltage increases from zero, the device firstly enters a capacitive-coupled memristive state at low voltage before switch to normal memristive state at a higher voltage. The existence of capacitive coupled and memristive behavior, modulated by programming voltage, forms a unique reprogrammable device. In the second device, formed by Al/TiO2-Graphene-DNA/Pt layers, high performance and stable intermediate multistate resistive switching behaviors have been achieved. Further, for in-memory computing, a high-density memory and multibit parallel logic computations are realized based on the multistate resistive switching behaviors. This improves data storage capacity and performance up to 2 with respect to conventional single bit memristor devices when they are used to store binary data, without any compromise in accuracy. Further, we use Al/TiO2/Al memristor device, to demonstrate a variation tolerant analog-digital-hybrid matrix multiplication circuit, for high precision and efficient in-memory computing. It was observed that, in comparison to conventional analog based matrix multiplication scheme using memristor, the proposed scheme improves the average accuracy up to 16.35%, with sacrificing power, performance and area up to 18.5%, 8.2% and 3.2% respectively. This work provides a new horizon on the memristor devices and will improve the understanding of engineering device and circuits for efficient and variation tolerant in-memory computing.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| 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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 découle