PATENT CLAIM ANALYSIS

Application Number: 16260767
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["257", "013000"]

Abstract:
A method of producing semiconductor nanoparticles is provided. The method includes heating primary semiconductor nanoparticles and a salt of an element M 1  in a solvent at a temperature set in a range of 100° C. to 300° C. The primary semiconductor nanoparticles contain the element M 1 , an element M 2 , optionally an element M 3 , and an element Z, and have an average particle size of 50 nm or less. The element M 1  is at least one element selected from the group consisting of Ag, Cu, and Au. The element M 2  is at least one element selected from the group consisting of Al, Ga, In, and Tl. The element M 3  is at least one element selected from the group consisting of Zn and Cd. The element Z is at least one element selected from the group consisting of S, Se, and Te.

Claim (Index 9):
The semiconductor nanoparticles according to  claim 1 , further comprising, on surfaces of the semiconductor nanoparticles, one or more coating layers represented by the general formula M 3 \u2032Z\u2032, wherein\n M 3 \u2032 is at least one element selected from the group consisting of Zn and Cd, and Z\u2032 is at least one element selected from the group consisting of S, Se, and Te.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 99.0
- Lexical Diversity: 2.60317
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15215961', '15459767', '15200528', '15695639', '14239616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9233266248847716
- 35 USC 102 Novelty (BERT): 0.5244491306423882
- Combined Prediction Score: 0.8834388754605331
- Mean Citation Score: 286.223288
- Max Citation Score: 348.33017
- Similarity Product: 284.50474615360974

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test