Applications of Probabilistic Machine Learning Models to Semiconductor Fabrication

Semiconductor fabrication relies heavily on the precision and accuracy of its individual processes in order to meet device requirements. If left unchecked, variations in these processes can lead to decreased performance and yield of the final product. While analysis and control of these variations h...

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Bibliographic Details
Main Author: Lang, Christopher Ilic
Other Authors: Boning, Duane S.
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/143184