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公开(公告)号:US20220207351A1
公开(公告)日:2022-06-30
申请号:US17137773
申请日:2020-12-30
Applicant: SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
Inventor: Tirthajyoti SARKAR , Diann M. DOW , Gary Horst LOECHELT , Prateek SHARMA
IPC: G06N3/08 , G06F30/31 , G06F30/367 , G06N3/04
Abstract: According to an aspect, a semiconductor design system includes at least one neural network including a first predictive model and a second predictive model, where the first predictive model is configured to predict a first characteristic of a semiconductor device, and the second predictive model is configured to predict a second characteristic of the semiconductor device. The semiconductor design system includes an optimizer configured to use the neural network to generate a design model based on a set of input parameters, where the design model includes a set of design parameters for the semiconductor device such that the first characteristic and the second characteristic achieve respective threshold conditions.
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公开(公告)号:US20220278171A1
公开(公告)日:2022-09-01
申请号:US17188466
申请日:2021-03-01
Applicant: SEMICONDUCTOR COMPONENTS INDUSTRIES, LLC
Inventor: Derryl ALLMAN , Diann M. DOW
Abstract: Implementations of a diode may include a first electrode; a first dielectric layer coupled to the first electrode; a second dielectric layer coupled to the first dielectric layer; and a second electrode coupled to the second dielectric layer. The first dielectric layer may be one of silicon dioxide or aluminum oxide; and the second dielectric layer may be one of niobium oxide, tantalum oxide, zirconium oxide, hafnium oxide, or any combination thereof.
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