基於二硫化鉬的銅導電橋式交叉點電阻切換記憶體利用鈦/鉬界面工程的神經型態分析運用在人工智慧上(I)

Engineering

1. Cross Point 100%
2. Molybdenum Disulfide 100%
3. Bridging 100%
4. Artificial Intelligence 100%
5. Engineering 100%
6. Resistive 100%
7. Conductive 100%
8. Image Processing 40%
9. Buffer Layer 30%
10. Pattern Recognition 20%
11. Artificial Neural Network 20%
12. Layer Thickness 10%
13. Complementary Metal-Oxide-Semiconductor 10%
14. Prosthetics 10%
15. Nanoelectronics 10%
16. Point Memory 10%
17. Feature Size 10%
18. Speed Operation 10%
19. Neuron Chip 10%
20. Learning Rule 10%
21. Smallest Feature 10%
22. Data Retention 10%
23. Daily Life 10%
24. Failure Rate 10%
25. 2D Material 10%

Material Science

1. Buffer Layer 100%
2. Pattern Recognition 66%
3. Electronic Circuit 33%
4. Two-Dimensional Material 33%
5. Transistor 33%
6. Complementary Metal-Oxide-Semiconductor Device 33%