PATENT CLAIM ANALYSIS

Application Number: 15779015
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["257", "024000"]

Abstract:
A method comprising: depositing a quantum dot solution onto an as-grown layer of channel material to form a layer of quantum dot material having a substantially uniform thickness across the area of the layer of quantum dot material; and transferring the layers of channel and quantum dot material as a single stack onto a substrate comprising source and drain electrodes such that both the layers of channel and quantum dot material substantially conform to the topography of the underlying substrate and electrodes whilst maintaining the substantially uniform thickness of quantum dot material, the source and drain electrodes configured to enable a flow of electrical current through the layer of channel material, the layer of quantum dot material configured to generate electron-hole pairs on exposure to incident electromagnetic radiation to produce a detectable change in the flow of electrical current which is indicative of one or more of the presence and magnitude of the incident electromagnetic radiation.

Claim (Index 6):
The method of any preceding claim, wherein transferring the layers of channel and quantum dot material comprises wet transfer of the single stack from solution onto the substrate.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 2.23611
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15575158', '15761200', '15779213', '13499038', '16080236']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9254870327025448
- 35 USC 102 Novelty (BERT): 0.518088611904033
- Combined Prediction Score: 0.8847471906226936
- Mean Citation Score: 241.66212
- Max Citation Score: 296.1254600000001
- Similarity Product: 193.67785433323863

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