기계 학습에 의한 결함 또는 핫스폿의 식별

    公开(公告)号:KR20200139840A

    公开(公告)日:2020-12-14

    申请号:KR20207034578

    申请日:2017-04-20

    Abstract: 본명세서에서는, 기계학습모델을이용하여, 디자인레이아웃으로부터핫스폿을식별하거나, 디자인레이아웃내의패턴이결함있는지를예측하는다양한방법들이개시된다. 본명세서에개시된예시적인방법은디바이스제조공정에서의복수의공정조건들하에서각각핫스폿들의성능의특성들의세트들을각각얻는단계; 핫스폿들각각에대하여공정조건들각각에대해, 그공정조건하에서의특성들에기초하여, 그핫스폿이결함있는지를결정하는단계; 공정조건들각각의특성들을얻는단계; 핫스폿들각각의특성들을얻는단계; 및공정조건들중 하나의특성들, 핫스폿들중 하나의특성들, 및그 공정조건하에서그 핫스폿이결함있는지의여부를포함하는트레이닝세트를이용하여기계학습모델을트레이닝하는단계를포함한다.

    A METHOD OF ADJUSTING SPEED AND/OR ROUTING OF A TABLE MOVEMENT PLAN AND A LITHOGRAPHIC APPARATUS.

    公开(公告)号:NL2006818A

    公开(公告)日:2012-01-03

    申请号:NL2006818

    申请日:2011-05-20

    Abstract: A method of adjusting speed and/or routing of a part of a movement plan of a table under an immersion fluid supply system of a lithographic apparatus. The method includes splitting the movement plan of the table into a plurality of discrete movements; determining a risk of a bubble of a size greater than a certain size being present in immersion fluid through which a patterned beam of the lithographic apparatus will pass during a certain discrete movement by determining whether the immersion fluid supply system passes over a position at which immersion fluid leaked from the immersion fluid supply system is present; and adjusting the speed and/or routing of a part of the movement plan corresponding to (i) a discrete movement earlier than a discrete movement for which the risk of a bubble is determined, and/or (ii) a discrete movement for which the risk of a bubble is determined.

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