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 16):
The lateral microstructure-enhanced photodetector of  claim 1 , further comprising at least one doped semiconductor region and in which said electrodes comprise laterally extending conductors and additional doped semiconductor material regions under one or more of said conductors and in ohmic contact therewith, said doped regions being laterally spaced by said one or more I-layers and forming one or more PN junctions in said photoconductor, where the materials forming each of the one or more PN junctions are touching.

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): 0.9114753024259108
- 35 USC 102 Novelty (BERT): 0.5347316367068999
- Combined Prediction Score: 0.8738009358540099
- Mean Citation Score: 289.422208
- Max Citation Score: 362.38657
- Similarity Product: 283.85274997314565

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