Tags: quantum transport

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  1. IWCN 2021: How to Preserve the Kramers-Kronig Relation in Inelastic Atomistic Quantum Transport Calculations

    15 Jul 2021 | | Contributor(s):: Daniel Alberto Lemus, James Charles, Tillmann Christoph Kubis

    The nonequilibrium Green’s function method (NEGF) is often used to predict quantum transport in atomically resolved nanodevices. This yields a high numerical load when inelastic scattering is included. Atomistic NEGF had been regularly applied on nanodevices, such as nanotransistors....

  2. IWCN 2021: Interfacial Trap Effects in InAs Gate-all-around Nanowire Tunnel Field- Effect Transistors: First-Principles-Based Approach

    15 Jul 2021 | | Contributor(s):: Hyeongu Lee, SeongHyeok Jeon, Cho Yucheol, Mincheol Shin

    In this work, we investigated the effects of the traps, Arsenic dangling bond (AsDB) and Arsenic anti-site (AsIn) traps, in InAs gate-all-around nanowire TFETs, using the trap Hamiltonian obtained from the first-principles calculations. The transport properties were treated by nonequilibrium...

  3. IWCN 2021: Quantum Transport Simulation on 2D Ferroelectric Tunnel Junctions

    15 Jul 2021 | | Contributor(s):: Eunyeong Yang, Jiwon Chang

    In this work, we consider a simple asymmetric structure of metal-ferroelectric-metal (MFM) FTJs with two different ferroelectric materials, Hf0.5Zr0.5O2(HZO) and CuInP2S6(CIPS), respectively. To investigate the performance of FTJs theoretically, we first explore complex band structures of HZO...

  4. IWCN 2021: Computational Research of CMOS Channel Material Benchmarking for Future Technology Nodes: Missions, Learnings, and Remaining Challenges

    15 Jul 2021 | | Contributor(s):: raseong kim, Uygar Avci, Ian Alexander Young

    In this preentation, we review our journey of doing CMOS channel material benchmarking for future technology nodes. Through the comprehensive computational research for past several years, we have successfully projected the performance of various novel material CMOS based on rigorous physics...

  5. IWCN 2021: Ab initio Quantum Transport Simulation of Lateral Heterostructures Based on 2D Materials: Assessment of the Coupling Hamiltonians

    14 Jul 2021 | | Contributor(s):: Adel Mfoukh, Marco Pala

    Lateral heterostructures based on lattice-matched 2D materials are a promising option to design efficient electron devices such as MOSFETs [1], tunnel-FETs [2] and energy-filtering FETs [3]. In order to rigorously describe the transport through such heterostructures, an ab-initio approach based...

  6. EOLAS NEGF Transport Simulator

    18 May 2021 | | Contributor(s):: Alfonso Sanchez, Thomas Kelly

    Effective-mass / NEGF simulator for electronic transport in Si nanostructures

  7. Recursive algorithm for NEGF in Python GPU version

    02 Feb 2021 | | Contributor(s):: Ning Yang, Tong Wu, Jing Guo

    This folder contains two Python functions for GPU-accelerated simulation, which implements the recursive algorithm in the non-equilibrium Green’s function (NEGF) formalism. Compared to the matlab implementation [1], the GPU version allows massive parallel running over many cores on GPU...

  8. A Single Atom Transistor: The Ultimate Scaling Limit – Entry into Quantum Computing

    14 Oct 2020 | | Contributor(s):: Gerhard Klimeck

    50th European Solid-State Device Research Conference

  9. Lance Fernandes

    I am Undergraduate student pursuing electronics engineering. I am extremely passionate about Nanoelectronics. My interests includes electron transport in nanostructures and scaling devices in...


  10. Ken-Ming Lin


  11. AQME Advancing Quantum Mechanics for Engineers

    Introduction to Advancing Quantum Mechanics for Engineers and Physicists “Advancing Quantum Mechanics for Engineers” (AQME) toolbox is an assemblage of individually authored tools...


  12. Paven Thomas Mathew


  13. Bandstructure Effects in Nano Devices With NEMO: from Basic Physics to Real Devices and to Global Impact on nanoHUB.org

    08 Mar 2019 | | Contributor(s):: Gerhard Klimeck

    This presentation will intuitively describe how bandstructure is modified at the nanometer scale and what some of the consequences are on the device performance.

  14. Sirsha Guha


  15. Sebastian Jan Juchnowski


  16. Sofia Cunha


  17. Naresh Shyaga




  19. Dibya Prakash Rai


  20. Sergey Dizhur