公开(公告)号：US20220260920A1

公开(公告)日：2022-08-18

申请号：US17612601

申请日：2020-05-11

Applicant: ASML NETHERLANDS B.V.

Inventor： Pieter Gerardus Jacobus SMORENBERG ,  Putra SAPUTRA ,  Khalid ELBATTAY ,  Paul DERWIN ,  Roy WERKMAN ,  Erik JENSEN ,  Hyunwoo YU ,  Gautam SARMA

IPC: G03F7/20

Abstract: A method for determining a sampling scheme, the method including: obtaining a first fingerprint model relating to a first spatial distribution of a performance parameter over a first portion of a semiconductor substrate and a second fingerprint model relating to a second spatial distribution of the performance parameter over a second portion of the semiconductor substrate; and determining a sampling point corresponding to a measuring location on the semiconductor substrate for generating measurement data based on an expected reduction of a first uncertainty metric associated with evaluation of the first fingerprint model over the first portion and an expected reduction of a second uncertainty metric associated with evaluation of the second fingerprint model over the second portion.

公开(公告)号：US20220011683A1

公开(公告)日：2022-01-13

申请号：US17294503

申请日：2019-10-21

Applicant: ASML NETHERLANDS B.V.

Inventor： Pavel SMAL ,  Inez Marlena SOCHAL ,  Gautam SARMA

IPC: G03F9/00 ,  G03F7/20

Abstract: A method for determining a layout of mark positions across a patterning device or substrate, the method including: obtaining a model configured to model data associated with measurements performed on the patterning device or substrate at one or more mark positions; obtaining an initial mark layout including initial mark positions; reducing the initial mark layout by removal of one or more mark positions to obtain a plurality of reduced mark layouts, each reduced mark layout obtained by removal of a different mark position from the initial mark layout; determining a model uncertainty metric associated with usage of the model for each reduced mark layout out of the plurality of reduced mark layouts; and selecting one or more reduced mark layouts based on its associated model uncertainty metric.