Samsung Electronics Co., Ltd.

Weiyi Qi

Nuo Xu

Yang Lu

Jing Wang

Woosung Choi

Uihui Kwon

Takeshi Okagaki

Zhengping Jiang

Jongchol Kim

Saetbyeol Ahn

Fan Chen

A system for reconstructing wafer maps of semiconductor wafers includes: a processor; and memory having instructions stored thereon that, when executed by the processor, cause the processor to: receive test data of a wafer at sparse sampling locations of the wafer, the sparse sampling locations being selected based on a probing mask; and compute a reconstructed wafer map by performing compressed sensing with Zernike polynomials on the test data at sparse locations of the wafer.

Systems and methods for wafer map analysis

A standard cell design system is provided. The standard cell design system includes at least one processor configured to implement: a control engine that determines planar parameters and vertical parameters of a target standard cell, a three-dimensional structure generating engine that generates a three-dimensional structure of the target standard cell based on the planar parameters and the vertical parameters, an extraction engine that extracts a standard cell model of the target standard cell from the three-dimensional structure, an assessment engine that performs a plurality of assessment operations based on the standard cell model, and an auto-optimizing engine that adjusts, based on a machine learning algorithm, the planar parameters and the vertical parameters based on results of the plurality of assessment operations.

Standard cell design system, standard cell design optimization method thereof, and semiconductor design system

According to one embodiment of the present invention a circuit simulator configured to simulate a degraded output of a circuit including a plurality of transistors includes: a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform; a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit.

System and method for circuit simulation based on recurrent neural networks

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San Jose, CA, United States of America

Weiyi Qi