PATENT CLAIM ANALYSIS

Application Number: 15905017
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["429", "218100"]

Abstract:
Embodiments described herein relate generally to lithium sulfur batteries and methods of producing the same. As described herein, preventing coarsening of sulfur during the well-known melt-diffusion processing of cathodes allows a high areal capacity of 10.7 mAh/cm 2  at current density of 3.4 mA/cm 2  (C-rate of 1/5 h −1 ). The addition of a lithium salt, such as LiTFSI, prior to melt-diffusion can prevent coarsening of molten sulfur and allows creation of a sulfur electrode with a high concentration of triple-phase junctions for electrochemical reaction. In some embodiments, approximately 60-70% utilization of the theoretical capacity of sulfur is reached at a high loading (e.g., greater than 7.5 mg S/cm 2 ). The electrodes are prepared in lean-electrolyte environment of 3 ml electrolyte /g sulfur  (˜70 vol % of electrolyte in the electrode) for high areal capacity in Li—S batteries.

Claim (Index 10):
A sulfur electrode mixture, comprising an electrically conductive solid and at least one lithium salt and sulfur, substantially free of electrolyte, wherein the lithium salt and sulfur are present in particulate form, and the particles of sulfur have a particle size ranging from about 5 nm to about 500 \u03bcm.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.66667
- Patent Class: 429.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15834991', '13986575', '14544760', '15676672', '15638811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8539662660031445
- 35 USC 102 Novelty (BERT): 0.494007604771885
- Combined Prediction Score: 0.8179703998800186
- Mean Citation Score: 250.696
- Max Citation Score: 256.52692
- Similarity Product: 207.3373505018949

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

Dataset: test