In this article, we propose the use of a Silicon/(3-aminopropyl)triethoxysilane (APS)/methylammonium lead iodide (MAPbI 3 ) Heterostructure in a field-effect transistor for the first time. In the proposed transistor, APS molecules are employed as linkers between silicon and MAPbI 3 to improve the interface properties. Our results indicate that a transistor based on this heterostructure provides suitable electrical performance. Such performance, along with the simplicity and the low-cost fabrication process, could expand the use of this transistor in various applications. The simulations take into account the influence of the trap density of states on carrier mobility at the silicon surface, which constitutes a critical factor in limiting the performance of the transistor. The effect of linker molecules on the silicon surface is incorporated through interfacial traps and shifts in the silicon surface Fermi level. The effect of barrier-layer thickness on the proposed transistor characteristics is also examined by analyzing four device configurations with barrier-layer thickness of 5, 10, 20, and 30 nm. The calculated result for threshold voltages is 0.1 V, − 0.3 V, -1.1 V and − 1.9 V for these structures, respectively. Furthermore, we investigate the frequency response of the device, demonstrating that a current-gain cutoff frequency of up to 35 GHz can be achieved. In this study, we also perform a comparison between carrier-transport results obtained using the Density Functional Tight Binding (DFTB) method and those derived from drift–diffusion–based simulations enhanced with appropriate physical models to improve computational accuracy.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
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The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
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This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
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The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.