PATENT CLAIM ANALYSIS

Application Number: 15910606
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["365", "158000"]

Abstract:
Neuron circuit structures are presented which employ magnetic tunnel junction (MTJ) elements that change state probabilistically in response to application of electrical source currents that emulate synaptic activity. Some implementations form probabilistic neuron circuits using homogeneous perpendicular spin-transfer torque (STT) MTJ elements. These neuron circuits include a perpendicular STT reference MTJ element coupled via an electrical node with a perpendicular STT neuron MTJ element that can change state. The electrical node for each neuron circuit couples a neuron MTJ element or “perturbation” element to a reference element, and also to an electrical current employed to influence probabilistic magnetization state changes in the perturbation MTJ element. A read current can be applied to the perturbation element to produce an output voltage at the electrical node indicative of a magnetization state of the perturbation element.

Claim (Index 10):
The apparatus of  claim 6 , further comprising:\n responsive to a reset current established through at least the perturbation MTJ element, the perturbation MTJ element is reset into an antiparallel magnetization state, and wherein the reference MTJ element comprises a magnetization state held in an antiparallel state.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 1.83544
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13361760', '13083414', '15075314', '15258328', '15603907']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7458346400926783
- 35 USC 102 Novelty (BERT): 0.4875730351289437
- Combined Prediction Score: 0.7200084795963049
- Mean Citation Score: 174.125126
- Max Citation Score: 180.37325
- Similarity Product: 119.51009771695732

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