PATENT CLAIM ANALYSIS

Application Number: 15742334
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["438", "745000"]

Abstract:
Compositions useful for the selective removal of silicon germanium materials relative to germanium-containing materials and silicon-containing materials from a microelectronic device having same thereon. The removal compositions include at least one diol and are tunable to achieve the required SiGe:Ge removal selectivity and etch rates.

Claim (Index 7):
The method of any of the preceding claims  claim 1 , further comprising at least one passivation agent selected from the group consisting of ascorbic acid, L(+)-ascorbic acid, isoascorbic acid, ascorbic acid derivatives, boric acid, ammonium biborate, borate salts (e.g., ammonium pentaborate, sodium tetraborate, and ammonium biborate), alanine, arginine, asparagine, aspartic acid, cysteine, glutamic acid, glutamine, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, proline, serine, threonine, tryptophan, tyrosine, valine, sodium bromide, potassium bromide, rubidium bromide, magnesium bromide, calcium bromide, ammonium bromides having the formula NR 1 R 2 R 3 R 4 Br, wherein R 1 , R 2 , R 3  and R 4  can be the same as or different from one another and are selected from the group consisting of hydrogen and branched or straight-chained C 1 -C 6  alkyls.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 86.0
- Lexical Diversity: 1.225
- Patent Class: 438.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15108696', '14914418', '15407850', '14908888', '14378842']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8766348219926867
- 35 USC 102 Novelty (BERT): 0.5559297947035783
- Combined Prediction Score: 0.8445643192637758
- Mean Citation Score: 312.722278
- Max Citation Score: 436.9675
- Similarity Product: 343.15394476041195

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

Dataset: test