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In this methodology, a correction factor has been introduced for each parameter of the geometric programming (GP) compatible device and performance model.
The proposed methodology takes advantage of SGP based optimization, namely, fast convergence and effectively optimum design and at the same time it uses SPICE simulation to fine tune the design point by rectifying inaccuracy that may exists in the GP compatible device and performance models.
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We also briefly address practical applications of the theory, including calibration, modelling of measuring devices and performance statement.
The impact of achievable mobility on device design and performance is presented.
The resulting recombination dynamics are correlated with the device characteristics and performance of the c- and m-LEDs.
In these applications, an accurate evaluation of PSi mechanical properties is paramount for the device fabrication and performance.
Research and development (R&D) of electrochemical capacitors is discussed in terms of material characteristics and device performance and testing.
Self-heating effects in existing silicon-on-insulator (SOI) lateral power devices degrade the device performance and their reliability.
Therefore, methods that can expand the limited supply of validated clinical samples would have major impacts on both the test and device performance evaluation and approval process, and the on-going proficiency assessment of the test providers.
Application of positioning devices and the performance of horseshoe osteotomy are advisable.
The development of nanostructured electrodes for electrochemical biosensors is of significant interest for modern detection, portable devices, and enhanced performance.
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