APPARATUS AND METHODS FOR DETERMINING OVERLAY OF STRUCTURES HAVING ROTATIONAL OR MIRROR SYMMETRY

Patent №

US 7,541,201

Granted

2009-06-02

Filed 2005

Owner

KLA-TENCOR TECHNOLOGIES CORPORATION

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11227764

Disclosed are overlay targets having flexible symmetry characteristics and metrology techniques for measuring the overlay error between two or more successive layers of such targets. In one embodiment, a target includes structures for measuring overlay error (or a shift) in both the x and y direction, wherein the x structures have a different center of symmetry (COS) than the y structures. In another embodiment, one of the x and y structures is invariant with a 180° rotation and the other one of the x and y structures has a mirror symmetry. In one aspect, the x and y structures together are variant with a 180° rotation. In yet another example, a target for measuring overlay in the x and/or y direction includes structures on a first layer having a 180 symmetry and structures on a second layer having mirror symmetry. In another embodiment, a target for determining overlay in the x and/or y direction includes structures on a first layer and structures on a second layer, wherein the structures on the first layer have a COS that is offset by a known amount from the COS of the structures on the second layer. In a specific implementation, any of the disclosed target embodiments may take the form of device structures. In a use case, device structures that have an inherent 180° rotational symmetry or a mirror symmetry in each of the first and second layers are used to measure overlay in a first layer and a second layer. Techniques for imaging targets with flexible symmetry characteristics and analyzing the acquired images to determine overlay or alignment error are disclosed.

VisionG01B 11/272G01N 21/4785G01N 21/9501G03F 7/70633H10P 72/50H10P 72/57H10W 46/00Y10S 438/975

AI classification

Vision0.95
Natural language0.00
AI hardware0.00
Evolutionary computation0.00
Planning0.00
Speech0.00
Machine learning0.00
Knowledge representation0.00

Ownership

KLA-TENCOR TECHNOLOGIES CORPORATION

assignment · 170020881

Assignors

GHINOVKER, MARK

On an employer assignment, the assignors are typically the inventors.

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