Modeling edge effects in graphene nanoribbon field-effect transistors with real and mode space methods

A computationally efficient mode space simulation method for atomistic simulation of a graphene nanoribbon field-effect transistor in the ballistic limits is developed. The proposed simulation scheme, which solves the nonequilibrium Green’s function coupled with a three dimensional Poisson equation, is based on the atomistic Hamiltonian in a decoupled mode space. The mode space approach, which only treats a few modes (subbands), significantly reduces the simulation time. Additionally, the edge bond relaxation and the third nearest neighbor effects are also included in the quantum transport solver. Simulation examples show that the mode space approach can significantly decrease the simulation cost by about an order of magnitude, yet the results are still accurate. This article also demonstrates that the effects of the edge bond relaxation and the third nearest neighbor significantly influence the transistor’s performance and are necessary to be included in the modeling.

[1]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[2]  Jing Guo,et al.  Scaling Behaviors of Graphene Nanoribbon FETs: A Three-Dimensional Quantum Simulation Study , 2007, IEEE Transactions on Electron Devices.

[3]  Mark S. Lundstrom,et al.  Toward Multiscale Modeling of Carbon Nanotube Transistors , 2004 .

[4]  Matthew J. Rosseinsky,et al.  Physical Review B , 2011 .

[5]  J. Mintmire,et al.  Graphene nanostrip digital memory device. , 2007, Nano letters.

[6]  October I Physical Review Letters , 2022 .

[7]  C. Berger,et al.  Electronic Confinement and Coherence in Patterned Epitaxial Graphene , 2006, Science.

[8]  H. Dai,et al.  Chemically Derived, Ultrasmooth Graphene Nanoribbon Semiconductors , 2008, Science.

[9]  G. Fiori,et al.  Simulation of Graphene Nanoribbon Field-Effect Transistors , 2007, IEEE Electron Device Letters.

[10]  M. Sancho,et al.  Highly convergent schemes for the calculation of bulk and surface Green functions , 1985 .

[11]  Andre K. Geim,et al.  Electric Field Effect in Atomically Thin Carbon Films , 2004, Science.

[12]  P. Kim,et al.  Experimental observation of the quantum Hall effect and Berry's phase in graphene , 2005, Nature.

[13]  S. Datta,et al.  Simulating quantum transport in nanoscale transistors: Real versus mode-space approaches , 2002 .

[14]  S. Louie,et al.  Energy gaps in graphene nanoribbons. , 2006, Physical Review Letters.

[15]  J. Mintmire,et al.  Hidden one-electron interactions in carbon nanotubes revealed in graphene nanostrips. , 2007, Nano letters.

[16]  S. Datta Quantum Transport: Atom to Transistor , 2004 .

[17]  Fujita,et al.  Edge state in graphene ribbons: Nanometer size effect and edge shape dependence. , 1996, Physical review. B, Condensed matter.

[18]  P. Kim,et al.  Energy band-gap engineering of graphene nanoribbons. , 2007, Physical review letters.

[19]  C. T. White,et al.  Tight-binding energy dispersions of armchair-edge graphene nanostrips , 2008 .

[20]  Mark S. Lundstrom,et al.  Ballistic graphene nanoribbon metal-oxide-semiconductor field-effect transistors: A full real-space quantum transport simulation , 2007 .

[21]  P. D. Ye,et al.  Top-gated graphene field-effect-transistors formed by decomposition of SiC , 2008, 0802.4103.

[22]  Jing Guo,et al.  Performance Comparison of Graphene Nanoribbon FETs With Schottky Contacts and Doped Reservoirs , 2008, IEEE Transactions on Electron Devices.

[23]  M. Rooks,et al.  Graphene nano-ribbon electronics , 2007, cond-mat/0701599.