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Issue DateTitleAuthor(s)
18-Jun-2021Temperature and dielectric surface roughness dependent performance analysis of cu-graphene hybrid interconnectsKumar, R.; Kumari, B.; Kumar, S.; Sahoo, M.; Sharma, R.
20-Jun-2021A temperature and dielectric roughness-aware matrix rational approximation model for the reliability assessment of Copper– Graphene hybrid On-Chip interconnectsKumar, R.; Kumar, A.; Guglani, S.; Kumar, S.; Roy, S.; Kaushik, B. K.; Sharma, R.; Achar, R.
20-Jun-2021Estimating per-unit-length resistance parameter in emerging Copper-Graphene hybrid interconnects via prior knowledge based accelerated neural networksKumar, R.; Narayan, S. S. L.; Kumar, S.; Roy, S.; Kaushik, B. K.; Achar, R.; Sharma, R.
24-Jun-2021Role of grain Size on the effective resistivity of Cu-Graphene hybrid interconnectsKumar, R.; Pathania, S.; Guglani, S.; Kumar, A.; Kumar, S.; Roy, S.; Kaushik, B. K.; Sharma, R.
29-Jun-2021Temperature-Aware compact modeling for resistivity in Ultra-Scaled Cu-Graphene hybrid interconnectsKumar, R.; Kumar, S.; Guglani, S.; Roy, S.; Kaushik, B. K.; Sharma, R.; Achar, R.
12-Aug-2021Temperature-Aware Closed-Form matrix rational approximation model for crosstalk analysis of Multi-Walled carbon nanotube interconnectsGuglani, S.; Kumar, A.; Kumar, R.; Kaushik, B. K.; Sharma, R.; Achar, R.; Roy, S.
20-Sep-2021Analytical model for inverter design using floating gate graphene field effect transistors (Nishad, A. K.; Dalakoti, A.; Jindal, A.; Kumar, R.; Kumar, S.; Sharma, R.
24-Oct-2021Knowledge-Based neural networks for fast design space exploration of hybrid Copper-Graphene On-Chip interconnect networksKumar, R.; Narayan, S. S. L.; Kumar, S.; Roy, S.; Kaushik, B. K.; Achar, R.; Sharma, R.
16-Nov-2021Analysis of parasitics on CMOS based memristor crossbar array for neuromorphic systemsThomas, S. A.; Vohra, S. K.; Kumar, R.; Sharma, R.; Das, D. M.
7-Dec-2021Design, modeling and analysis of Cu-Carbon hybrid interconnectsKumari, B.; Kumar, R.; Sharma, R.; Sahoo, M.

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