PATENT CLAIM ANALYSIS

Application Number: 16042535
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["257", "431000"]

Abstract:
Lateral and vertical microstructure enhanced photodetectors and avalanche photodetectors are monolithically integrated with CMOS/BiCMOS ASICs and can also be integrated with laser devices using fluidic assembly techniques. Photodetectors can be configured in a vertical PIN arrangement or lateral metal-semiconductor-metal arrangement where electrodes are in an inter-digitated pattern. Microstructures, such as holes and protrusions, can improve quantum efficiency in silicon, germanium and III-V materials and can also reduce avalanche voltages for avalanche photodiodes. Applications include optical communications within and between datacenters, telecommunications, LIDAR, and free space data communication.

Claim (Index 47):
The method of  claim 46 , further including providing one or more additional photodetectors each comprising a laterally extending multiplicity of holes that enhance desirable electrical responses of said one or more additional photodetectors to light having selected wavelengths compared to otherwise same photodetectors without said holes and assembling said photodetectors on or in said chip and electrically connecting them with said one or more active electronic circuits.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 95.0
- Lexical Diversity: 1.44776
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15797821', '14945003', '15309922', '14943898', '14892821']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.911790650450637
- 35 USC 102 Novelty (BERT): 0.5357024605168543
- Combined Prediction Score: 0.8741818314572588
- Mean Citation Score: 289.422208
- Max Citation Score: 362.38657
- Similarity Product: 236.07644238241195

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