Band-to-Band Tunneling Model Calibration and Design Optimization of Group IV Tunnel FETs (Kalibratie van band-tot-band tunneling en ontwerp-optimalisatie van Groep-IV tunnel-FETs)

PhD student will define the optimal Tunnel-FET configuration, based on thorough insight in the physics of the device, and the devices at Vdd=0.3V with Ion/Ioff>10 5 (low operating power) will be fabricated at the end.status: publishe

H.K.: Optimal buy-and-hold strategies for financial markets with bounded daily returns

Abstract. In the context of investment analysis, we formulate an abstract online computing problem called a planning game and develop general tools for solving such a game. We then use the tools to investigate a practical buy-and-hold trading problem faced by long-term investors in stocks. We obtain the unique optimal static online algorithm for the problem and determine its exact competitive ratio. We also compare this algorithm with the popular dollar averaging strategy using actual market data. Key words. buy-and-hold trading problems, the balanced strategy, the dollar averaging strategy, online algorithms, competitive analysis, planning games, minimax theorem, linear programming, zero-sum two-person games

Device simulations with A U-Net model predicting physical quantities in two-dimensional landscapes

Abstract Although Technology Computer-Aided Design (TCAD) simulation has paved a successful and efficient way to significantly reduce the cost of experiments under the device design, it still encounters many challenges as the semiconductor industry goes through rapid development in recent years, i.e. Complex 3D device structures, power devices. Recently, although machine learning has been proposed to enable the simulation acceleration and inverse‑design of devices, which can quickly and accurately predict device performance, up to now physical quantities (such as electric field, potential energy, quantum-mechanically confined carrier distributions, and so on) being essential for understanding device physics can still only be obtained by traditional time-consuming self-consistent calculation. In this work, we employ a modified U-Net and train the models to predict the physical quantities of a MOSFET in two-dimensional landscapes for the first time. Errors in predictions by the two models have been analyzed, which shows the importance of a sufficient amount of data to prediction accuracy. The computation time for one landscape prediction with high accuracy by our well-trained U-Net model is much faster than the traditional approach. This work paves the way for interpretable predictions of device simulations based on convolutional neural networks

The Effect of Inspiration and Phonation on Vocal Fold Length

The detection of metric dimensions of laryngeal structures yielded valuable information for both clinical and research purposes. The aim of this paper was to evaluate the absolute dimensions of true vocal fold length (TVFL) during inspiration and phonation with a stroboscope coupling with laser equipment. Forty graduate student subjects including 20 males and 20 females were examined. The measurements were made during inspiration and phonation at a fixed fundamental frequency within each participant. The maximal TVFL was got from the inspiration and the minimal from the phonation. Results showed that the mean values of male inspiration and phonation TVFL were 12.81 + 2.97 mm and 10.92 + 4.40 mm respectively. While in female, they were 11.27 + 2.71 mm and 7.16 + 2.65 mm respectively. There was statistically significant between inspiration and phonation TVFL in the female group. In female, TVFL at phonation was significantly shortened than in male. We concluded stroboscope coupling with laser projection marking module could be used to assess physiological variation of TVFL. This technique enabled the detection of absolute spatial laryngeal dimensions, which was useful in providing valuable information in diagnostics and interpretation of voice disorders