PATENT CLAIM ANALYSIS

Application Number: 16416182
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["136", "201000"]

Abstract:
A thermoelectric conversion element includes a film composed of a conductive oxide, a first electrode disposed on one end of the film composed of the conductive oxide, and a second electrode disposed on another end of the film composed of the conductive oxide, wherein the conductive oxide has a tetragonal crystal structure expressed by ABO 3-x , where 0.1<x<1, wherein the conductive oxide has a band structure in which a Fermi level intersects seven bands between a Γ point and an R point, and wherein the first electrode and the second electrode are disposed on the film composed of the conductive oxide so that electrical charge moves in a direction of a smallest vector among three primitive translation vectors of the crystal structure.

Claim (Index 7):
A method for producing a thermoelectric conversion element, the method comprising:\n disposing a first electrode on one end of a film composed of a conductive oxide; and disposing a second electrode on another end of the film composed of the conductive oxide, wherein the conductive oxide has a tetragonal crystal structure expressed by ABOJ-x, where 0.1<x<1, wherein the conductive oxide has a band structure in which a Fermi level intersects seven bands between a r point and an R point, wherein the first electrode and the second electrode are disposed on the film composed of the conductive oxide so that electrical charge moves in a direction of a smallest vector among three primitive translation vectors of the crystal structure.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 100.0
- Lexical Diversity: 2.07812
- Patent Class: 136.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14636629', '11643708', '14539028', '11194685', '12539135']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7858967028491002
- 35 USC 102 Novelty (BERT): 0.5048729960678431
- Combined Prediction Score: 0.7577943321709745
- Mean Citation Score: 189.914118
- Max Citation Score: 276.45123
- Similarity Product: 207.51679443994223

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

Dataset: test