Dr. Andreas Fischer
at Lam Research Corporation
SPIE Involvement:
Author | Instructor
Publications (2)

Proceedings Article | 30 April 2023 Presentation
Andreas Fischer, Thorsten Lill, Mark Kawaguchi
Proceedings Volume PC12499, PC124990D (2023) https://doi.org/10.1117/12.2658122
KEYWORDS: Etching, Silicon, Oxides, Manufacturing, Logic devices, Gallium arsenide, Transistors, Switching, Semiconductor manufacturing, Semiconducting wafers

Proceedings Article | 21 March 2017 Paper
Andreas Fischer, Richard Janek, John Boniface, Thorsten Lill, K. Kanarik, Yang Pan, Vahid Vahedi, Richard Gottscho
Proceedings Volume 10149, 101490H (2017) https://doi.org/10.1117/12.2258129
KEYWORDS: Ellipsometry, Etching, Focus stacking software, Plasma, Tin, Hydrogen, Aluminum, Fluorine, Plasma treatment, Semiconducting wafers

Course Instructor
SC1339: Atomic Layer Etching for Patterning of Advanced Semiconductor Devices
Patterning of advanced logic and memory devices requires atomic level fidelity. Atomic Layer Etching (ALE) emerged at the right time as the solution for these advanced patterning needs. ALE is a critical tool for integration and process engineers for realizing the roadmaps of logic and memory devices. In this course, we will introduce the fundamentals of atomic layer etching. We will compare ALE with conventional reactive ion etching (RIE) and isotropic etching technologies such as radical and thermal etching and analyze if and why ALE provides superior performance. We will cover a wide range of implementations of plasma driven directional atomic layer etching and thermal isotropic atomic layer etching. The performance benefits for these ALE techniques will be introduced and limitations will be discussed. In the second half of the course, we will review the use of ALE in EUV patterning, multipatterning, logic gate etching, contact etching, spacer etching, high k dielectric thinning, formation of advanced 3D NAND, 3D DRAM and emerging memory devices. Preferred chemistries and processing conditions will be introduced. The course will discuss use cases and requirements for plasma application in ALE.
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