journal article·2020-11-01Open access

Core-level shifts in x-ray photoelectron spectroscopy of arsenic defects in silicon crystal: A first-principles study

Jun Yamauchi, Yoshihide Yoshimoto, Yuji Suwa

AIP Advances· Volume 10· Issue 11

Abstract

We systematically investigated the arsenic (As) 3d core-level x-ray photoelectron spectroscopy (XPS) binding energy and formation energy for As defects in silicon by first-principles calculation with a high accuracy of 0.1 eV by careful evaluation of the supercell size. For As, we adopt a pseudopotential with 3d states as the valence and the spherical hole approximation to ensure the convergence of self-consistent calculation for the XPS binding energy with large size systems. Some of the examined model defects have threefold coordinated As atoms. The XPS binding energies of these As atoms are distributed in the narrow region from −0.66 eV to −0.73 eV in neutral charge states. Such defects in negative charge states have a lower XPS binding energy by about 0.1 eV. From the XPS binding energy and electrical activity, negatively charged defects of a vacancy and two adjacent substitutional As atoms (As2V) are the most probable candidates for the experimentally observed peak at −0.8 eV called BEM from the reference substitutional As peak. Under the experimental condition, we find that As2V−,2− do not deeply trap electrons and are electrically inactive. We also demonstrate the surface effect that surface states near the bandgap decrease the XPS binding energy, which may generate defects with low binding energies similarly to the experimental peak at −1.2 eV called BEL.
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Research context

OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Surface and Thin Film Phenomena · Ga2O3 and related materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Science and Technology, Keio University 1 , 3-14-1 Hiyoshi, Yokohama-shi, Kanagawa 223-8522, Japan

Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo 2 , 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan

Lumada Data Science Lab., Research Group, Hitachi, Ltd. 3 , Higashi-koigakubo 1-280, Kokubunji-shi, Tokyo 185-8601, Japan

Funding

Ministry of Education, Culture, Sports, Science and Technology

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