AI/ML algorithms and applications in VLSI design and technology

D Amuru, A Zahra, HV Vudumula, PK Cherupally… - Integration, 2023 - Elsevier
An evident challenge ahead for the integrated circuit (IC) industry is the investigation and
development of methods to reduce the design complexity ensuing from growing process …

Role of Artificial Intelligence in VLSI Design: A Review

G Thakur, S Jain - Recent Advances in Computer Science and …, 2025 - benthamdirect.com
Artificial intelligence (AI) related technologies are being employed more and more in a
range of industries to increase automation and improve productivity. The increasing volumes …

Statistical behaviour of laser-induced plasma and its complementary characteristic signals

J Buday, D Holub, P Pořízka, J Kaiser - Journal of Analytical Atomic …, 2024 - pubs.rsc.org
In this work, we present a study aimed at the statistical distribution of characteristic signals of
laser-induced plasmas. This work mainly focuses on observing statistical distribution for …

A Statistical Cell Delay Model for Estimating the 3σ Delay by Matching Kurtosis

L Jin, W Fu, H Yan, L Shi - … on Circuits and Systems II: Express …, 2022 - ieeexplore.ieee.org
Accurate standard cell modeling is significant for circuit timing analysis and yield estimation.
With voltage decreasing to near-threshold, cell delay distribution becomes asymmetrical and …

A Novel Delay Calibration Method Considering Interaction between Cells and Wires

L Jin, J Xu, W Fu, H Yan, X Shi… - … Design, Automation & …, 2023 - ieeexplore.ieee.org
In the advanced technology, the accuracy of cell and wire delay modeling are the key
metrics for timing analysis. However, when the supply voltage decreases to the near …

An Improved Path Delay Variability Model via Multi-Level Fan-Out-of-4 Metric for Wide-Voltage-Range Digital CMOS Circuits

Y Cui, W Shan, W Dai, X Liu, J Guo… - Chinese Journal of …, 2023 - ieeexplore.ieee.org
In advanced CMOS technology, process, voltage, and temperature (PVT) variations increase
the paths' latency in digital circuits, especially when operating at a low supply voltage. The …

A Deep-Learning-Based Statistical Timing Prediction Method for Sub-16nm Technologies

J Xu, L Jin, W Fu, L Shi - 2024 Design, Automation & Test in …, 2024 - ieeexplore.ieee.org
Pre-routing timing estimation is vital but challenging since accurate net information is
available only after routing and parasitic extraction. Existing methodologies predict the …

VASTA: A wide voltage statistical timing analysis tool based on variation-aware cell delay models

W Fu, L Jin, M Ling, Y Zheng, L Shi - IEEE Access, 2020 - ieeexplore.ieee.org
In the advanced technology nodes, process parameter variations are increasingly resulting
in unpredictable device behavior. The issue is even aggravated by low power requirements …

Joint estimation of multiple time interleaved adc timing offsets based on fourier series decomposition

G Paryanti, D Sadot - Journal of Lightwave Technology, 2020 - opg.optica.org
A method for reducing the complexity of estimating multiple timing offset in time interleaved
analog to digital converter based on Fourier series decomposition is proposed. The timing …

Statistical Strategies to Capture Correlation Between Overshooting Effect and Propagation Delay Time in Nano-CMOS Inverters

H Jooypa, D Dideban, H Heidari - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we model statistical correlation between overshooting effect and propagation
delay time in nano-CMOS technology considering the influence of intrinsic parameter …