PATENT CLAIM ANALYSIS

Application Number: 16259764
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-08
Patent Classification: ["372", "050120"]

Abstract:
The present invention is directed to an ultra-compact dual quantum cascade laser assembly that nearly doubles the strength of a traditional laser in a in a single hermetically sealed micropackage. The device may comprise two quantum cascade lasers that meet at a combiner to create a single laser with a higher strength than traditional lasers. The current invention provides a path to an ultra-compact coherent beam combing arrangement that uses both dichroic beam combining and polarization beam combining techniques.

Claim (Index 14):
An ultra-compact dual quantum cascade laser assembly comprising:\n a. a first quantum cascade laser; b. a second quantum cascade laser; c. a combiner; d. a first collimating lens; e. a second collimating lens; f. a reflector; and g. an exit port; h. wherein the first quantum cascade laser is positioned adjacent to the second quantum cascade laser; i. wherein the reflector is positioned between the first collimating lens and the combiner; j. wherein the combiner is positioned between the reflector and the second collimating lens; k. wherein the exit port is located adjacent to the combiner; l. wherein the first laser and the second laser are configured to combine into a consolidated third laser and the consolidated third laser is configured to pass through the exit port.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.54717
- Patent Class: 372.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11154264', '12354237', '14985722', '14636058', '13873636']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7892233886022016
- 35 USC 102 Novelty (BERT): 0.4694655688285436
- Combined Prediction Score: 0.7572476066248358
- Mean Citation Score: 145.629224
- Max Citation Score: 152.14407
- Similarity Product: 114.97980675583722

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

Dataset: test