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Microelectronics Devices Optimal Design Methodology with Regard to Technological and Operation Factors

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International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018 (EMMFT-2018 2018)

Abstract

Microelectronic devices are the basis of sensor devices used to measure temperature, humidity, pressure, movement or acceleration, light, chemical elements concentration, etc. The aim of this work is to create a methodology of microelectronic devices integrated design, which, with the use of the existing group production technology, will achieve the optimal linkage of the main device quality indicators (target values, mass-availability) under given production conditions and reliability under given operating conditions and given restrictions on device purpose indicators. An additional stage of design and technological optimization, which receives the device design parameters from the circuit and engineering design stages, data on their technological errors from the technological production preparation stage and data on the kinetic of design parameters and purpose indicators of the device under given operating conditions, can be introduced into the traditional design scheme to solve the assigned task. As a result of the optimization, corrections for the device nominal design parameters maximizing the objective function are determined. The probability of device purpose indicators destination within the imposed limits or the probability of performing the specified functions during the operation time are used as the objective function. The proposed methodology is illustrated by the example of microelectronic SHF radio signals mixer and rectifier with a resonant-tunneling diode as a nonlinear element.

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Correspondence to Sergey Meshkov .

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Meshkov, S., Makeev, M., Shashurin, V., Tsvetkov, Y., Khlopov, B. (2020). Microelectronics Devices Optimal Design Methodology with Regard to Technological and Operation Factors. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-19756-8_49

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