Neuronale Graphnetzwerke zur Ausnutzung Räumlicher und Semantischer Beziehungen in Metrologiedaten
Anmelder: ASML Netherlands B.V. 🇳🇱
Details
- Veröffentlichungs-Nr.
- EP4752630
- Anmeldetag
- 2. Dezember 2024
- Veröffentlichung
- 3. Juni 2026
- Rechtsraum
- EP
- IPC
- G03F7/00
Abstract
A method of using a graph neural network to process metrology data of a patterned portion of a substrate patterned using a lithographic apparatus, to generate characterization information characterizing the patterned portion of the substrate. The method comprises obtaining metrology data, defining a graph of a graph neural network, defining feature data for each node of the graph based on the metrology data, and at least once generating, using the graph neural network and for each node, corresponding message data for each node associated with the node and updating, for each node, the feature data for the node based on the corresponding one or more message data, to form updated feature data. The method further comprises generating the characterization information from the updated feature data.
Anmelder
- Firma
- ASML Netherlands B.V.
- Land
- 🇳🇱 Niederlande
Niederländisches Unternehmen, das Lithografiesysteme und weitere Anlagen für die Halbleiterfertigung entwickelt und herstellt, zentral für die Chipindustrie.
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ASML Netherlands B.V
ASML Netherlands B.V · Veldhoven