Ab initio for design-technology co-optimization

Shela J. Aboud; Joanne Huang; Jonathan Cobb; Tue Gunst; Plamen Asenov; Thuc Dam; Ricardo Borges

doi:10.1117/12.2583912

22 February 2021 Ab initio for design-technology co-optimization

Shela J. Aboud, Joanne Huang, Jonathan Cobb, Tue Gunst, Plamen Asenov, Thuc Dam, Ricardo Borges

Proceedings Volume 11614, Design-Process-Technology Co-optimization XV; 116140S (2021) https://doi.org/10.1117/12.2583912
Event: SPIE Advanced Lithography, 2021, Online Only

Abstract

In this work, we demonstrate our first-principles based methodology to include atomistic level simulations to evaluate the promise of different metals on the performance of MOL/BEOL interconnects. The specific metals that we focus on include Cu, Ru (both fcc and hcp), Co, and Mo where the conductivity of these metals, including the degradation from grain boundaries extracted from ab initio simulations, is included in a parasitic field solver and subsequently used to extract the interconnect parasitics of standard cells. Lithography considerations are addressed through simulations of patterned, “real” wires. PPA is evaluated through simulations of an 128x128 SRAM memory array where we find significant improvement in the read and write delay of 20% and 40%, respectively when we replace M1 with Ru(fcc).

Conference Presentation

Citation Download Citation

Shela J. Aboud, Joanne Huang, Jonathan Cobb, Tue Gunst, Plamen Asenov, Thuc Dam, and Ricardo Borges "Ab initio for design-technology co-optimization", Proc. SPIE 11614, Design-Process-Technology Co-optimization XV, 116140S (22 February 2021); https://doi.org/10.1117/12.2583912

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