PRE-PROGRAMMED RESISTIVE CROSS-POINT ARRAY FOR NEURAL NETWORK
First Claim
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1. A semiconductor device comprising:
- a semiconducting layer deposited on a base insulating layer;
a top insulating layer deposited on the semiconducting layer;
a portion of the top insulating layer removed; and
a shunting layer deposited on the top insulating layer, wherein the shunting layer contacts the semiconducting layer via the portion that is removed from the top insulating layer, wherein dimensions of the portion determine a resistance value of the semiconductor device.
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Abstract
Technical solutions are described for forming a semiconductor device for a crosspoint array that implements a pre-programmed neural network. An example method includes sequentially depositing a semiconducting layer, a top insulating layer, and a shunting layer onto a base insulating layer. The method further includes etching selective portions of the top insulating layer corresponding to resistance values associated with weights of the crossbar that implements the neural network.
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Citations
13 Claims
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1. A semiconductor device comprising:
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a semiconducting layer deposited on a base insulating layer; a top insulating layer deposited on the semiconducting layer; a portion of the top insulating layer removed; and a shunting layer deposited on the top insulating layer, wherein the shunting layer contacts the semiconducting layer via the portion that is removed from the top insulating layer, wherein dimensions of the portion determine a resistance value of the semiconductor device. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A semiconductor device comprising:
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sequentially deposited layers on a base insulating layer, the sequentially deposited layers comprising a semiconducting layer, a top insulating layer, and a shunting layer; and wherein, selective portions of the top insulating layer are etched corresponding to resistance values associated with weights of a crossbar that implements a neural network. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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Specification