PATENT CLAIM ANALYSIS

Application Number: 15989188
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["257", "002000"]

Abstract:
An optical-readout synaptic device based on SiO x N y  and a preparation method thereof are provided. The device includes a surface plasmonic waveguide and a memristor; the surface plasmonic waveguide has a vertical three-layer structure that a second metal layer, a SiN x  dielectric layer and a first metal layer are successively arranged from top to bottom; the memristor has a vertical four-layer structure that a second electrode layer, a second resistive layer, a first resistive layer and a first electrode layer are successively arranged from top to bottom; the memristor is embedded in the surface plasmonic waveguide; and, the first resistive layer and the second resistive layer of the memristor serve as an optical signal transmission channel that is horizontally connected with the SiN x  dielectric layer of the surface plasmonic waveguide. The present invention realizes an optical-readout of synaptic weight and has incomparable advantages over a conventional electrical-readout synaptic device.

Claim (Index 6):
The optical-readout synaptic device based on SiO x N y , as recited in  claim 1 , wherein: the second resistive layer is a SiO x N y  film containing metal nanoparticles; and\n the metal nanoparticles are silver nanoparticles, copper nanoparticles or aluminum nanoparticles.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 2.34286
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14232521', '15511006', '15674206', '13629946', '14909933']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9160147056107196
- 35 USC 102 Novelty (BERT): 0.4834175094482973
- Combined Prediction Score: 0.8727549859944775
- Mean Citation Score: 172.578324
- Max Citation Score: 181.94171
- Similarity Product: 129.85492102144778

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test