Robotic chip-scale nanofabrication for superior consistency

Unlike the rigid, high-volume automation found in industry, academic research requires process flexibility that has historically relied on variable manual operations. This hinders the fabrication of advanced, complex devices. We propose to address this gap by automating these low-volume, high-stakes tasks using a robotic arm to improve process control and consistency. As a proof of concept, we deploy this system for the resist development of Josephson junction devices. A statistical comparison of the process repeatability shows that the robotic process achieves a resistance spread across chips close to 2%, a significant improvement over the ∼7% spread observed from human operators, validating robotics as a solution to eliminate operator-dependent variability and providing a path toward industrial-level consistency in a research setting.

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Publication Details

Journal
Applied Physics Letters
Published
2026-04-06
DOI
https://doi.org/10.1063/5.0313577
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Robotic chip-scale nanofabrication for superior consistency

Felix M. Mayor, Samuel Gyger, Erik Szakiel, Wenyan Guan et al.
Applied Physics Letters
Advanced Surface Polishing Techniques
article

Robotic chip-scale nanofabrication for superior consistency

Felix M. Mayor, Samuel Gyger, Erik Szakiel, Wenyan Guan, Amir H Safavi-Naeini
article en

Abstract

Unlike the rigid, high-volume automation found in industry, academic research requires process flexibility that has historically relied on variable manual operations. This hinders the fabrication of advanced, complex devices. We propose to address this gap by automating these low-volume, high-stakes tasks using a robotic arm to improve process control and consistency. As a proof of concept, we deploy this system for the resist development of Josephson junction devices. A statistical comparison of the process repeatability shows that the robotic process achieves a resistance spread across chips close to 2%, a significant improvement over the ∼7% spread observed from human operators, validating robotics as a solution to eliminate operator-dependent variability and providing a path toward industrial-level consistency in a research setting.

Applied Physics LettersVol. 128(14)
Stanford University (US)
U.S. Department of Energy, Gordon and Betty Moore Foundation, Amazon Web Services, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Knut och Alice Wallenbergs Stiftelse
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Advanced Surface Polishing Techniques
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