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Physical characterization challenges in 45 nm technology node

2008 15th International Symposium on the Physical and Failure Analysis of Integrated Circuits, 2008
The advent of 45 nm technology poses a real challenge to device physical characterization. The shrinkage in dimension makes the characterization of some critical structures very difficult or impossible. The adoption of ultra low K materials even worsens the situation. In this paper, an attempt is made to address some of the challenging characterization
K. Li, P. Liu, Q. Wang, I. Tee, J. Teong
openaire   +1 more source

Managing Physical Folios of Objects Between Nodes

1995
With modern operating systems, it is becoming easier to implement single level stores using memory management techniques to manage memory pages or slot segments between virtual memory and local disk. In this paper, we describe the ptool management system, which, in addition, gathers physical collections of segments into UNIX files we call folios. Ptool
R. L. Grossman, N. Araujo, X. Qin, W. Xu
openaire   +1 more source

Physics-Guided Multi-Agent Deep Reinforcement Learning for Robust Active Voltage Control in Electrical Distribution Systems

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
Although several multi-agent deep reinforcement learning (MADRL) algorithms have been employed in power distribution networks configured with high penetration level of Photovoltaic (PV) generators for active voltage control (AVC), the impact of the ...
Pengcheng Chen   +3 more
semanticscholar   +1 more source

Towards Virtual and Physical Nodes Fused Network Emulation

2019 IEEE 2nd International Conference on Computer and Communication Engineering Technology (CCET), 2019
Network emulation is a vital testing and verification approach for networking protocols of all layers, as well as for application software during a network’s entire life-cycle from designing to maintenance phases. Network emulation method combines the merits of simulation and test-bed, and balances cost and accuracy.
Junyu Lai   +4 more
openaire   +1 more source

Yield impact from physical design at advanced technology nodes

2007 7th International Conference on ASIC, 2007
As technology approach physical and atomic limit, designers need to understand yield impact with various physical design trade-offs. In this paper, we present various yield models and their relationship to physical layout in technology node 65 nm and beyond.
Johnny Kuei, Yulei Weng
openaire   +1 more source

Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction.

Journal of Physical Chemistry Letters
Deep learning models have been widely used for high-performance material property prediction. However, training such models usually requires a large amount of labeled data, which are usually unavailable.
Nihang Fu, Lai Wei, Jianjun Hu
semanticscholar   +1 more source

Rapid and sparse reconstruction of high-speed steady-state and transient compressible flow fields using physics-informed graph neural networks

The Physics of Fluids
Explosion flow fields are characterized by shock waves with varying intensity and position (i.e., explosive loads), which are the primary causes of structural damage.
Jiang-Zhou Peng   +6 more
semanticscholar   +1 more source

Dirac-equation signal processing: Physics boosts topological machine learning

PNAS Nexus
Topological signals are variables or features associated with both nodes and edges of a network. Recently, in the context of topological machine learning, great attention has been devoted to signal processing of such topological signals.
Runyue Wang   +3 more
semanticscholar   +1 more source

Physical Interpretation of Fictitious Nodes Encountered in the Node Method of Vibration Analysis

Journal of Applied Mechanics, 1962
A method of interpreting apparently meaningless solutions of the system of equations encountered when solving a vibration problem by the node method is presented in this paper. These solutions are associated with fictitious nodes connected to the structure by a device called a structural doublet. An illustrative problem is solved.
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The node is nonsense

IEEE spectrum, 2020
One of the most famous maxims in technology is, of course, Moore's Law. For more than 55 years, the “Law” has described and predicted the shrinkage of transistors, as denoted by a set of roughly biannual waypoints called technology nodes.
S. Moore
semanticscholar   +1 more source

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