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Electromigration (EM) is a key reliability issue in deeply scaled technology nodes. Traditional EM methods first filter immortal wires using the Blech criterion, and then perform EM analysis based on Black's equation on the remaining wires.…

Hardware Architecture · Computer Science 2026-03-17 Mohammad Abdullah Al Shohel , Vidya A. Chhabria , Sachin S. Sapatnekar

In this paper, we modeled and simulated uneven current distribution for on-die interconnect structure. We show significant difference when considering uneven current distribution. Finite Element Method approach is used to analyze various…

Applied Physics · Physics 2017-12-27 Karthik Airani , Rohit Guttal

Reliability is a fundamental requirement in any microprocessor to guarantee correct execution over its lifetime. The design rules related to reliability depend on the process technology being used and the expected operating conditions of…

Hardware Architecture · Computer Science 2021-09-14 Freddy Gabbay , Avi Mendelson

In this paper, we briefly introduce physical foundations of electromigration (EM) and present a few classical EMrelated theories. We discuss physical parameters affecting EM wire lifetime and we introduce some background related to the…

Applied Physics · Physics 2017-12-18 Karthik Airani , Rohit Guttal

In this paper, we develop a analytical model and algorithm for calculating uneven current distribution in via array structures. We propose a stress time translation formula and cumulative failure distribution equation to model the memory…

Applied Physics · Physics 2018-01-26 Karthik Airani , Rohit Guttal

For the linearized reconstruction problem in Electrical Impedance Tomography (EIT) with the Complete Electrode Model (CEM), Lechleiter and Rieder (2008 Inverse Problems 24 065009) have shown that a piecewise polynomial conductivity on a…

Analysis of PDEs · Mathematics 2019-01-04 Bastian Harrach

This paper presents a consistent computational framework for multiscale 1st order finite strain homogenization and stability analyses of rate-independent solids with periodic microstructures. Based on the principle of multiscale virtual…

Computational Engineering, Finance, and Science · Computer Science 2023-03-28 Guodong Zhang , Nan Feng , Kapil Khandelwal

Electrochemical impedance spectroscopy (EIS) is a widely used experimental technique for characterising materials and electrode reactions by observing their frequency-dependent impedance. Classical EIS measurements require the…

We propose an experimental methodology for probing the energy barrier inhomogeneity at the metal/semiconductor interface without the need for time-consuming microscopic survey. It is based on the known statistical nature of the interfacial…

Mesoscale and Nanoscale Physics · Physics 2025-09-16 Jiwan Kim , Jaehyeong Jo , Jungjae Park , Hyunjae Park , Eunseok Hyun , Jisang Lee , Sejin Oh , Kibog Park

Electrochemical Impedance Spectroscopy (EIS) is a non-invasive technique widely used for understanding charge transfer and charge transport processes in electrochemical systems and devices. Standard approaches for the interpretation of EIS…

Integrity and reliability of a national power grid system are essential to society's development and security. Among the power grid components, transmission lines are critical due to exposure and vulnerability to severe external conditions,…

Systems and Control · Electrical Eng. & Systems 2024-06-28 Eduardo A. Barros De Moraes , Prakash KC , Mohsen Zayernouri

A numerical investigation of grain-boundary (GB) grooving by means of the Level Set (LS) method is carried out. GB grooving is emerging as a key element of electromigration drift in polycrystalline microelectronic interconnects, as…

Materials Science · Physics 2007-05-23 M. Khenner , A. Averbuch , M. Israeli , M. Nathan , E. Glickman

The possibility to extract properties of an interface between two immiscible liquids, e.g., electrolyte solutions or polyelectrolyte multilayers, by means of impedance spectroscopy is investigated theoretically within a dynamic density…

Soft Condensed Matter · Physics 2013-11-22 Andreas Reindl , Markus Bier

In this paper, we propose an efficient parallelization strategy for boundary element method (BEM) solvers that perform the electromagnetic analysis of structures with lossy conductors. The proposed solver is accelerated with the adaptive…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-30 Damian Marek , Shashwat Sharma , Piero Triverio

The robustness of neural networks to adversarial examples has received great attention due to security implications. Despite various attack approaches to crafting visually imperceptible adversarial examples, little has been developed…

Machine Learning · Statistics 2018-02-01 Tsui-Wei Weng , Huan Zhang , Pin-Yu Chen , Jinfeng Yi , Dong Su , Yupeng Gao , Cho-Jui Hsieh , Luca Daniel

The effective charge of an element is a parameter characterizing the electromgration effect, which can determine the reliability of interconnection in electronic technologies. In this work, machine learning approaches were employed to model…

Materials Science · Physics 2019-07-03 Yu-chen Liu , Benjamin Afflerbach , Ryan Jacobs , Shih-kang Lin , Dane Morgan

The electromigration (EM) of metallic lines is studied in terms of competition between two percolative processes taking place in a random resistor network. The effects associated with the transport of mass and with the consequent growth of…

Condensed Matter · Physics 2007-05-23 C. Pennetta , L. Reggiani , E. Alfinito

We propose a mathematical framework for designing robust networks of coupled phase-oscillators by leveraging a vulnerability measure proposed by Tyloo et. al that quantifies how much a small perturbation to a phase-oscillator's natural…

Optimization and Control · Mathematics 2023-08-14 Shriya V. Nagpal , Gokul G. Nair , Francesca Parise , C. Lindsay Anderson

CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is an Extreme Value Theory (EVT) based robustness score for large-scale deep neural networks (DNNs). In this paper, we propose two extensions on this robustness score. First, we…

Machine Learning · Computer Science 2018-10-23 Tsui-Wei Weng , Huan Zhang , Pin-Yu Chen , Aurelie Lozano , Cho-Jui Hsieh , Luca Daniel

In this work, we present a computational framework for coupled electro-chemo-(nonlinear) mechanics at the particle scale for solid-state batteries. The framework accounts for interfacial fracture between the active particles and solid…

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