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High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects

High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects

Rasit O. Topaloglu, Swati R. Manjari, Saroj K. Nayak
Copyright: © 2012 |Pages: 20
ISBN13: 9781613501160|ISBN10: 1613501161|EISBN13: 9781613501177
DOI: 10.4018/978-1-61350-116-0.ch004
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MLA

Topaloglu, Rasit O., et al. "High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects." Handbook of Research on Computational Science and Engineering: Theory and Practice, edited by J. Leng and Wes Sharrock, IGI Global, 2012, pp. 78-97. https://doi.org/10.4018/978-1-61350-116-0.ch004

APA

Topaloglu, R. O., Manjari, S. R., & Nayak, S. K. (2012). High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects. In J. Leng & W. Sharrock (Eds.), Handbook of Research on Computational Science and Engineering: Theory and Practice (pp. 78-97). IGI Global. https://doi.org/10.4018/978-1-61350-116-0.ch004

Chicago

Topaloglu, Rasit O., Swati R. Manjari, and Saroj K. Nayak. "High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects." In Handbook of Research on Computational Science and Engineering: Theory and Practice, edited by J. Leng and Wes Sharrock, 78-97. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-116-0.ch004

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Abstract

Interconnects in semiconductor integrated circuits have shrunk to nanoscale sizes. This size reduction requires accurate analysis of the quantum effects. Furthermore, improved low-resistance interconnects need to be discovered that can integrate with biological and nanoelectronic systems. Accurate system-scale simulation of these quantum effects is possible with high-performance computing (HPC), while high cost and poor feasibility of experiments also suggest the application of simulation and HPC. This chapter introduces computational nanoelectronics, presenting real-world applications for the simulation and analysis of nanoscale and molecular interconnects, which may provide the connection between molecules and silicon-based devices. We survey computational nanoelectronics of interconnects and analyze four real-world case studies: 1) using graphical processing units (GPUs) for nanoelectronic simulations; 2) HPC simulations of current flow in nanotubes; 3) resistance analysis of molecular interconnects; and 4) electron transport improvement in graphene interconnects. In conclusion, HPC simulations are promising vehicles to advance interconnects and study their interactions with molecular/biological structures in support of traditional experimentation.

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