PATENT CLAIM ANALYSIS

Application Number: 16171717
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["502", "060000"]

Abstract:
This invention relates to a hydrogen spillover-based catalyst and use thereof, wherein a hydrogen activation metal cluster is dispersed in the form of being encapsulated in a crystalline or amorphous aluminosilicate matrix which is partially or fully structurally collapsed zeolite, thereby exhibiting high hydroprocessing or dehydrogenation activity and suppressed C-C hydrogenolysis activity.

Claim (Index 9):
A method of preparing a hydrogen spillover based catalyst, comprising:\n (a) providing zeolite containing a hydrogen activation metal (M) cluster therein and having a silica/alumina molar ratio o - c 2 or is less; (b) ion-exchanging the zeolite with an ammonium ion (NH 4 + ); and (c) thermally treating the ion-exchanged zeolite to thus partially or fully collapse a zeolite framework so that the hydrogen activation metal cluster is encapsulated in crystalline or amorphous aluminosilicate, wherein changes in hydrogen and carbon monoxide chemisorption amounts depending on a temperature satisfy the following relation: 0.7*(H/M 373 +H/M 473 +H/M 573 )/3>(CO/M 373 +CO/M 473 +CO/M 575 )/3 wherein H/M is a chemisorption amount (mol) of a hydrogen atom per total mol of given CO/M is a chemisorption amount (mol) of carbon monoxide per total mol of M., and subscripts represent adsorption temperatures (K).

Metadata:
- Claim Count in Document: 40.0
- Percentile: 97.0
- Lexical Diversity: 1.22222
- Patent Class: 502.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14784214', '15602797', '15296301', '10025647', '15718624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.699713006060677
- 35 USC 102 Novelty (BERT): 0.6779666288370849
- Combined Prediction Score: 0.6975383683383177
- Mean Citation Score: 299.908584
- Max Citation Score: 732.88257
- Similarity Product: 630.0254396775108

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

Dataset: test