Grain-Boundary Resistance in Copper Interconnects: From an Atomistic Model to a Neural Network
- Purdue Univ., West Lafayette, IN (United States). Network for Computational Technology, School of Electrical and Computer Engineering; DOE/OSTI
- Purdue Univ., West Lafayette, IN (United States). Network for Computational Technology, School of Electrical and Computer Engineering
- Samsung Semiconductor, Inc., San Jose, CA (United States)
- Purdue Univ., West Lafayette, IN (United States). Network for Computational Technology, School of Electrical and Computer Engineering; Purdue Univ., West Lafayette, IN (United States). Network for Computational Technology, Birck Nanotechnology Center
- Purdue Univ., West Lafayette, IN (United States). Network for Computational Technology, Birck Nanotechnology Center
Orientation effects on the specific resistance of copper grain boundaries are studied systematically with two different atomistic tight-binding methods. A methodology is developed to model the specific resistance of grain boundaries in the ballistic limit using the embedded atom model, tight- binding methods, and nonequilibrium Green’s functions. The methodology is validated against first-principles calculations for thin films with a single coincident grain boundary, with 6.4% deviation in the specific resistance. A statistical ensemble of 600 large, random structures with grains is studied. For structures with three grains, it is found that the distribution of specific resistances is close to normal. Finally, a compact model for grain-boundary-specific resistance is constructed based on a neural network.
- Research Organization:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- FC52-08NA28617
- OSTI ID:
- 1540705
- Journal Information:
- Physical Review Applied, Journal Name: Physical Review Applied Journal Issue: 4 Vol. 9; ISSN 2331-7019; ISSN PRAHB2
- Publisher:
- American Physical Society (APS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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