PATENT CLAIM ANALYSIS

Application Number: 16176470
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["136", "238000"]

Abstract:
A thermoelectric power module capable of suppressing diffusion of not only a material of a solder layer but also a material of a solder joint layer into a thermoelectric element, or suppressing oxidation of the thermoelectric element. The thermoelectric power module includes in sequence: a thermoelectric element consisting essentially of a thermoelectric material containing at least two kinds of elements of bismuth (Bi), tellurium (Te), antimony (Sb), and selenium (Se) as principal components; a first diffusion prevention layer consisting essentially of at least one of molybdenum (Mo) and tungsten (W); a second diffusion prevention layer consisting essentially of at least one of cobalt (Co), titanium (Ti), and an alloy or compound containing them as principal components; and a solder joint layer consisting essentially of at least one of nickel (Ni), tin (Sn), and an alloy or compound containing them as principal components.

Claim (Index 9):
The thermoelectric power module according to  claim 7 , further comprising a solder layer jointed on said solder joint layer and including solder having a composition containing lead (Pb) and tin (Sn) as principal components, a ratio thereof being represented by Pb x Sn (1-x) , wherein x\u22650.85.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 2.44444
- Patent Class: 136.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14909158', '14909159', '13579382', '14902867', '14342115']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8057794460702669
- 35 USC 102 Novelty (BERT): 0.615069231587915
- Combined Prediction Score: 0.7867084246220316
- Mean Citation Score: 360.04080200000016
- Max Citation Score: 557.6525
- Similarity Product: 523.6248010632396

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

Dataset: test