2017
DOI: 10.1117/12.2260870
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Metrology capabilities and needs for 7nm and 5nm logic nodes

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Cited by 20 publications
(19 citation statements)
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“…Nano-metrology is the only effective method that ensures the reliability and consistency of nano-manufacturing [1][2][3]. Compared with other techniques such as scanning electron microscopy (SEM), atomic force microscopy (AFM) [4], and near-field scanning optical microscope (NSOM) [5], optical scatterometry [6,7], also known as optical critical dimension metrology or optical critical dimension (OCD) metrology, is more suitable for monitoring, assessing, and optimizing the nano-manufacturing processes due to its advantages of being non-contact, non-destructive, low in cost, and easy to integrate, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Nano-metrology is the only effective method that ensures the reliability and consistency of nano-manufacturing [1][2][3]. Compared with other techniques such as scanning electron microscopy (SEM), atomic force microscopy (AFM) [4], and near-field scanning optical microscope (NSOM) [5], optical scatterometry [6,7], also known as optical critical dimension metrology or optical critical dimension (OCD) metrology, is more suitable for monitoring, assessing, and optimizing the nano-manufacturing processes due to its advantages of being non-contact, non-destructive, low in cost, and easy to integrate, etc.…”
Section: Introductionmentioning
confidence: 99%
“…[8][9][10] Along with the advantages of optical scatterometry, there are some challenges or limitations to this technique. 11,12 First, the parameter correlation deserves special attention. Large parameter correlation increases the measurement uncertainty and makes the solution of the inverse problem apt to fall into local minima.…”
Section: Introductionmentioning
confidence: 99%
“…The current state and future needs of the complementary optical, scanned probe, and electron-beam metrology ecosystem for advanced IC fabrication are detailed by Bunday et al 3 Additionally, entirely new computing paradigms, such as neuromorphic computing, 7 that may permit progress to energy-efficient computation at the Landauer limit 1 of k Tln2 per bit (2.8 × 10 −21 J at 300 K), 2,8,9 drive the exploration of a zoo of new device types. 10 Many of these devices manipulate certain properties – state variables – other than an electronic charge, such as the electric or magnetic dipole, orbital state, or atomic configuration 2 .…”
Section: Introductionmentioning
confidence: 99%