PATENT CLAIM ANALYSIS

Application Number: 15914116
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["136", "212000"]

Abstract:
The embodiments of the present invention relate to a thermoelectric element and a thermoelectric module used for cooling, and the thermoelectric module can be made thin by having a first substrate and a second substrate with different surface areas to raise the heat-dissipation effectiveness.

Claim (Index 1):
A thermoelectric module, comprising:\n a first substrate and a second substrate configured to face each other; electrode layers disposed on the first substrate and the second substrate, dielectric layers disposed between the first substrate and the electrode layers and between the second substrate and the electrode layers, at least one unit cell including a first semiconductor element and a second semiconductor element which are electrically connected and interposed between the first substrate and the second substrate, wherein volumes of the first substrate and the second substrate are different from each other, wherein an area of the second substrate is greater than an area of the first substrate, wherein a thickness of the first substrate is smaller than a thickness of the second substrate, wherein the second substrate is a heat-dissipation region, wherein the first substrate and the second substrate are metallic substrates, wherein concave-convex patterns are formed on a surface of the second substrate, wherein the surface of the second substrate is disposed toward the first semiconductor element and the second semiconductor element.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 1.35294
- Patent Class: 136.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14913220', '14591226', '15561830', '13729820', '15562708']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7699079207440063
- 35 USC 102 Novelty (BERT): 0.4581009812635365
- Combined Prediction Score: 0.7387272267959593
- Mean Citation Score: 159.30362
- Max Citation Score: 199.22331
- Similarity Product: 183.7378483547849

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