We developed imaging spectroscopic reflectometry (ISR) based on hyperspectral imaging and deep learning and built it as an in-line facility. After obtaining the reflectance as a hyperspectral cube of the 350 – 1100 nm wavelength region throughout the whole device wafer, dimension of the nanometer-sized structure can be imaged through the supervised learning model. In particular, by including near-IR region in the spectrum, the bottom critical dimension (BCD) of the high-aspect ratio structure such as channel hole (CHH) of the 3D NAND evaluated in this study can be imaged non-destructively and rapidly. After removing the top through decapsulation, the actual BCD was measured by SEM and was linked to the hyperspectral cube to construct a supervised learning model. The BCD predicted through ISR showed a correlation of R2=0.72 with the actual BCD. In addition, the shape of the defect on device chip caused by insufficient etch at the bottom of CHH, obtained by ISR was identical to the inspection image taken after decapsulation. Compared to spot measurement, ISR shows the advantage of being able to capture defects that occur at random locations in the device wafer. From our high volume sample of 3D NAND, ISR result showed a high correlation (R2 = 0.82) with the rate of failure caused by channel hole while the conventional spot measurement showed only R2 = 0.41. By using ISR, we could optimize the etching process for the wafer edge area where CHH formation is particularly weak.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.