PATENT CLAIM ANALYSIS

Application Number: 15756982
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["376", "190000"]

Abstract:
Neutron and proton generating processes consist in a thermal neutrons generation process arising in particular circumstances after destabilization of a coherent electrons beam wherein electrons have a minimum carrying-energy of 1.022 MeV; a thermal protons generation process arising in particular circumstances after destabilization of a coherent positrons beam wherein positrons have a minimum carrying-energy of 1.022 MeV; and a stochastically equal numbers of thermal protons and neutrons generation process arising in particular circumstances after destabilization of a coherent electromagnetic photons beam wherein photons have a minimum energy of 1.022 MeV. Large amounts of residual energy and metastable partons would be produced during each process.

Claim (Index 5):
A process for generating neutrons and protons as in  claim 1  wherein a coherent photon beam made of photons, each minimally possessing 1.022 MeV of energy, is destabilized by way of a beam of elementary particles, comprised of, but not limited to, photons, electrons, positron, protons, and neutrons that intersect the path of said incoming beam according to proximity, amount and velocity parameters configured to provide optimal output.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.29787
- Patent Class: 376.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12065784', '13658843', '12296844', '12116774', '12398726']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.581463474326078
- 35 USC 102 Novelty (BERT): 0.4893038129842353
- Combined Prediction Score: 0.5722475081918937
- Mean Citation Score: 206.378826
- Max Citation Score: 228.2868
- Similarity Product: 174.9243963779211

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

Dataset: test