Mechanical indentation and plowing is one of the most widely used methods in probe-based nanolithography. Compared to other probe-based nanolithography techniques such as the Dip-pen and the milliped, mechanical plowing is not restrictive to conductive materials and/or soft materials. However, like other probe-based nanolithgraphy techniques, the low-throughput has hindered the implementation of this technique in practices. The fabrication throughput, although can be increased via parallel-probe, is ultimately limited by the tracking precision of the probe relative to the sample during the plowing process. In this paper, a new iterative learning control technique is proposed and utilized to account for the adverse effects encountered in high-speed, large-range mechanical plowing nanolithography, including the hysteresis, the vibrational dynamics, and the cross-axis dynamics-coupling effects. Moreover, vertical (normal) ultrasonic vibration of the cantilever is introduced during the fabrication process to improve the fabrication quality. This approach is implemented to directly fabricate patterns on a mask with a tungsten layer deposited on a silicon dioxide substrate. The experimental results demonstrated that a relatively large-size pattern of four grooves (20 μm in length) can be fabricated at a high-speed of ∼5 mm/sec, with the line width and line depth at ∼95 nm and 2 nm, respectively. A fine pattern of the word ‘NANO’ is also achieved at the speed of ∼5 mm/sec. Such a high-speed direct lithography of mask with nanoscale line width and depth points the use of mechanical-plowing technique in strategic-important applications such as mask lithography for semiconductor industry.
- Dynamic Systems and Control Division
Iterative-Control-Based High-Speed Direct Mask Fabrication via Ultrasonic-Vibration-Assisted Mechanical Plowing
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Wang, Z, & Zou, Q. "Iterative-Control-Based High-Speed Direct Mask Fabrication via Ultrasonic-Vibration-Assisted Mechanical Plowing." Proceedings of the ASME 2013 Dynamic Systems and Control Conference. Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control. Palo Alto, California, USA. October 21–23, 2013. V003T37A003. ASME. https://doi.org/10.1115/DSCC2013-3945
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