Current S/TEM automation requires highly trained microscopists to build specialized acquisition and analysis recipes for specific semiconductor structures. Recipes can be challenging to write and take a long time, therefore the industry continues to rely on manual operation to overcome TEM analysis demands. Time to develop robust automation is often too slow for the product change rate of industry development cycle. To overcome this barrier, Smart Automation was developed on a Thermo Scientific Metrios TM AX 200kV S/TEM as an application providing a generalized acquisition workflow that is ready to use without requiring specialist intervention. The application interacts with a Fully Convolutional Neural Network (FCN) through a user-friendly interface for navigation and auto alignments. The FCN is the key enabler for lowering the bar to automation set up with a time to robust automation within hours instead of days.
The development of vertical 3D NAND technology over the past 5 years has been accelerated by the parallel development of metrology techniques capable of characterizing these device stacks. Current trends point toward a continuous scaling of dimensions along the z-axis, involving a critical etch step with aspect ratios of ~50:1. These high aspect ratio process steps present both fabrication and metrology challenges where the channel holes can bend, bow, and pinch off throughout the stack. Work presented herein demonstrates the capability of an automated workflow developed using the Thermo Scientific™ Helios™ G4 HXe DualBeam™ platform. The workflow iteratively exposes desired layers within the NAND stack, collects high resolution SEM images, and performs metrology to enable statistical analysis of trends as a function of depth within the stack. Results will be presented from 3 sites in an automatically delayered 72-layer 3D NAND die. Automated SEM metrology was performed every 10 layers, capturing more than 6000 devices. Over 19000 measurements were made on imaged devices yielding assessment of statistically significant trends in the planar cell area, eccentricity, and position of the bits as a function of depth.
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