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Among the many variants of graph neural network (GNN) architectures capable of modeling data with cross-instance relations, an important subclass involves layers designed such that the forward pass iteratively reduces a graph-regularized…

Machine Learning · Computer Science 2025-03-03 Haitian Jiang , Renjie Liu , Zengfeng Huang , Yichuan Wang , Xiao Yan , Zhenkun Cai , Minjie Wang , David Wipf

For the development of reliable vertical GaN transistors, a detailed analysis of the robustness of the gate stack is necessary, as a function of the process parameters and material properties. To this aim, we report a detailed analysis of…

We study the performance of a hybrid Graphene-Boron Nitride {GNR-BN} armchair nanoribbon {a-GNR-BN} MOSFET at its ballistic transport limit. We consider three geometric configurations 3p, 3p+1 and 3p+2 of a-GNR-BN with BN atoms embedded on…

Mesoscale and Nanoscale Physics · Physics 2015-06-17 Anuja Chanana , Amretashis Sengupta , Santanu Mahapatra

Accurate and scalable surrogate models for AC power flow are essential for real-time grid monitoring, contingency analysis, and decision support in increasingly dynamic and inverter-dominated power systems. However, most existing surrogates…

Systems and Control · Electrical Eng. & Systems 2025-07-04 Shrenik Jadhav , Birva Sevak , Srijita Das , Wencong Su , Van-Hai Bui

We measure top-gated graphene field effect transistors (GFETs) with nanosecond-range pulsed gate and drain voltages. Due to high-k dielectric or graphene imperfections, the drain current decreases ~10% over time scales of ~10 us, consistent…

In this letter, we demonstrate the first BN/Graphene/BN field effect transistor for RF applications. The BN/Graphene/BN structure can preserve the high mobility of graphene, even when it is sandwiched between a substrate and a gate…

Mesoscale and Nanoscale Physics · Physics 2011-10-04 Han Wang , Thiti Taychatanapat , Allen Hsu , Kenji Watanabe , Takashi Taniguchi , Pablo Jarillo-Herrero , Tomas Palacios

This work focuses on grid-forming (GFM) control of Interconnecting Power Converters (IPCs) that are used to interconnect multiple HVAC and HVDC subgrids to form a grid of grids. We introduce the concept of dual-port GFM control that…

Systems and Control · Electrical Eng. & Systems 2022-03-07 Dominic Groß , Sánchez-Sánchez , Eduardo Prieto-Araujo , Oriol Gomis-Bellmunt

Recently, an extremely-air-stable one-dimensional 7-9-7-AGNR was successfully fabricated. To further reveal its potential application in sub-5-nm field-effect transistors (FETs), there is an urgent need to develop integrated circuits. Here,…

Mesoscale and Nanoscale Physics · Physics 2023-10-17 Hang Guo , Xian Zhang , Shuai Chen , Li Huang , Yan Dong , Zhi-Xin Guo

In this article, we proposed a Variable threshold MOSFET(VTMOS)approach which is realized from Dynamic Threshold MOSFET(DTMOS), suitable for sub-threshold digital circuit operation. Basically the principle of sub- threshold logics is…

Other Computer Science · Computer Science 2010-07-15 K. Ragini , M. Satyam , B. C. Jinaga

This paper investigates power swing characteristics of grid-forming voltage source converter (GFM-VSC) systems considering the current limitation mode in both non-inertial and inertial GFM-VSC systems. Following grid faults, non-inertial…

Systems and Control · Electrical Eng. & Systems 2025-04-17 Yongxin Xiong , Heng Wu , Yifei Li , Xiongfei Wang

This paper presents the design of an 800 V 11 kVA three-level three-phase active neutral point clamped inverter, utilizing 650 V gallium nitride enhancement-mode high-electron-mobility transistors, to evaluate its feasibility in electric…

Instrumentation and Detectors · Physics 2024-06-25 Angelo Di Cataldo , Hamed Eivazi , Giuseppe Aiello , Dario Patti , Giacomo Scelba , Mario Cacciato , Francesco Gennaro

Emerging nano-scale programmable Resistive-RAM (RRAM) has been identified as a promising technology for implementing brain-inspired computing hardware. Several neural network architectures, that essentially involve computation of scalar…

Emerging Technologies · Computer Science 2015-12-02 Aranya Goswamy , Sagar Kumashi , Vikash Sehwag , Siddharth Kumar Singh , Manny Jain , Kaushik Roy , Mrigank Sharad

We present a graphene-based memory platform built on dual-gated field-effect transistors (GFETs). By integrating a lithographically defined metal patch directly atop the hexagonal boron nitride (hBN)-graphene channel, the device functions…

This paper proposes a Low-Power, Energy Efficient 4-bit Binary Coded Decimal (BCD) adder design where the conventional 4-bit BCD adder has been modified with the Clock Gated Power Gating Technique. Moreover, the concept of DVT (Dual-vth)…

Hardware Architecture · Computer Science 2016-11-18 Dipankar Saha , Subhramita Basak , Sagar Mukherjee , C. K. Sarkar

Boltzmann tyranny poses a fundamental limit to lowering the energy dissipation of conventional MOS devices, a minimum increase of the gate voltage, i.e. 60 mV, is required for a 10-fold increase in drain-to-source current at 300 K. Negative…

Applied Physics · Physics 2018-04-30 Ali Saeidi , Farzan Jazaeri , Igor Stolichnov , Christian C. Enz , Adrian M. ionescu

In this work, we demonstrate a dual-gated (DG) MoS2 field effect transistors (FETs) in which the degraded switching performance of multilayer MoS2 can be compensated by the DG structure. It produces large current density (>100 {\mu}A/{\mu}m…

Time Projection Chamber (TPC) is one of the main tracking systems for many current and future collider experiments at RHIC and LHC. It has a capability to measure the space points of charged tracks for good momentum resolution as well as…

Instrumentation and Detectors · Physics 2019-12-30 K. Dehmelt , P. Garg , T. K. Hemmick , A. Milov , E. Shulga , V. Zakharov

With the development of hardware-optimized deployment of spiking neural networks (SNNs), SNN processors based on field-programmable gate arrays (FPGAs) have become a research hotspot due to their efficiency and flexibility. However,…

Neural and Evolutionary Computing · Computer Science 2026-01-06 Hou Yue , Xiang Shuiying , Zou Tao , Huang Zhiquan , Shi Shangxuan , Guo Xingxing , Zhang Yahui , Zheng Ling , Hao Yue

Accurate and efficient power flow (PF) analysis is crucial in modern electrical networks' operation and planning. Therefore, there is a need for scalable algorithms that can provide accurate and fast solutions for both small and large scale…

Machine Learning · Computer Science 2024-02-14 Nan Lin , Stavros Orfanoudakis , Nathan Ordonez Cardenas , Juan S. Giraldo , Pedro P. Vergara

Graphene is an attractive electrode material to contact nanostructures down to the molecular scale since it can be gated electrostatically. Gating can be used to control the doping and the energy level alignment in the nanojunction, thereby…

Mesoscale and Nanoscale Physics · Physics 2016-01-20 Nick R. Papior , Tue Gunst , Daniele Stradi , Mads Brandbyge