Spatial Metrology of Dopants in Silicon with Exact Lattice Site Precision
Muhammad Usman, Juanita Bocquel, Joe Salfi, Benoit Voisin, Archana, Tankasala, Rajib Rahman, Michelle Y. Simmons, Sven Rogge, Lloyd L.C., Hollenberg

TL;DR
This paper introduces a precise metrology combining low-temperature STM imaging and quantum modeling to determine the exact lattice site positions of subsurface dopants in silicon, crucial for nanoelectronics and quantum computing.
Contribution
It develops a novel method to pinpoint subsurface dopant locations in silicon with atomic precision using combined experimental and theoretical techniques.
Findings
Successfully identified lattice sites of dopants up to 36 atomic layers deep.
Achieved high accuracy in dopant positioning for both phosphorus and arsenic in silicon.
Demonstrated the technique's potential for nanoscale device optimization.
Abstract
The aggressive scaling of silicon-based nanoelectronics has reached the regime where device function is affected not only by the presence of individual dopants, but more critically their position in the structure. The quantitative determination of the positions of subsurface dopant atoms is an important issue in a range of applications from channel doping in ultra-scaled transistors to quantum information processing, and hence poses a significant challenge. Here, we establish a metrology combining low-temperature scanning tunnelling microscopy (STM) imaging and a comprehensive quantum treatment of the dopant-STM system to pin-point the exact lattice-site location of sub-surface dopants in silicon. The technique is underpinned by the observation that STM images of sub surface dopants typically contain many atomic-sized features in ordered patterns, which are highly sensitive to the…
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