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Well-calibrated predictive TCAD simulations are employed to generate target data for compact models for better pre-V1.0 PDK development. A reliable re-centering technology has been developed which can accurately migrate the global and local variability and the corresponding corners. FinFETs calibrated to published data by Intel at the 14nm technology node are employed as test-bed devices.
Clinical translation of computational models of the heart has been hampered by the absence of complete and rigorous technical and clinical validation, as well as benchmarking of the developed tools. To address this issue, a dataset containing the cardiac anatomy and fibre orientations from magnetic resonance images (MRI), as well as epicardial transmembrane potentials from optical mapping acquired...
Image search engines tend to return a large number of images which the engines consider to be relevant, and such pool of results generally is very large and may be regarded to be effectively inexhaustible. While the images are presented as relevant, it is normally true that many of them are actually irrelevant, and that the distribution of relevant images over the returned results is non-uniform....
A compact MOSFET I-V model is developed based on quasi-ballistic transport theory, using a more accurate method to calculate the effective stress and its impact on all strain-dependent parameters. This model is verified using published 40 nm-Lg CESL-strained nMOSFET data, and can be used to predict layout-dependent variations and future-generation device performance trends.
This paper presents preliminary results for using dynamic systems models to describe physiological and behavioral responses (cortisol and activity) to emotionally stressful events. Linear discrete-time models are used to approximate the nonlinear model of the LHPA axis around an assumed nominal operating condition. Measurements are taken of cortisol (from saliva) and activity (with an accelerometer)...
Dynamic matrix controllers (DMC) and model predictive controllers (MPC) have found wide application in the process industries. In order to design such a controller, a step response model of the process is often used. This paper will provide an algorithm for obtaining the step response model of a process based on closed-loop operating data generated by a step change in the setpoint. This algorithm...
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