PATENT CLAIM ANALYSIS

Application Number: 16212490
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["257", "089000"]

Abstract:
A process for producing a light emitting diode device, the process including: forming a plurality of quantum dots on a surface of a layer including a first area and a second area, the forming including: exposing the first area of the surface to light having a first wavelength while exposing the first area to a quantum dot forming environment that causes the quantum dots in the first area to form at a first growth rate while the quantum dots have a dimension less than a first threshold dimension; exposing the second area of the surface to light having a second wavelength while exposing the second area to the quantum dot forming environment that causes the quantum dots in the second area to form at a third growth rate while the quantum dots have a dimension less than a second threshold dimension; and processing the layer to form the LED device.

Claim (Index 6):
The LED device of  claim 5 , wherein the third quantum dot region and both the first and second quantum dot regions are on opposite sides of the base layer, and\n wherein during operation, the light emitted by the third plurality of quantum dots optically pumps the first and second pluralities of quantum dots.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 3.20408
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15851602', '15851583', '12961631', '13721930', '10514660']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.934421466021684
- 35 USC 102 Novelty (BERT): 0.5521058581457179
- Combined Prediction Score: 0.8961899052340874
- Mean Citation Score: 302.936394
- Max Citation Score: 418.46994
- Similarity Product: 314.07698965461014

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