Method for data processing in application to ohmic contacts

• Опубліковано в: : Semiconductor Physics Quantum Electronics & Optoelectronics
• Дата: 2019
• Автори: Belyaev, A.E., Boltovets, N.S., Konakova, R.V., Kovtonjuk, V.M., Kudryk, Ya.Ya., Shynkarenko, V.V., Dub, M.M., Saj, P.O., Novitskii, S.V.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2019
• Теми: Semiconductor physics
• Онлайн доступ: https://nasplib.isofts.kiev.ua/handle/123456789/215433
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Цитувати: Method for data processing in application to ohmic contacts / A.E. Belyaev, N.S. Boltovets, R.V. Konakova, V.M. Kovtonjuk, Ya.Ya. Kudryk, V.V. Shynkarenko, M.M. Dub, P.O. Saj, S.V. Novitskii // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2019. — Т. 22, № 1. — С. 11-18. — Бібліогр.: 11 назв. — англ.

The method of processing the data of electrophysical investigations of ohmic contacts has been developed. It allows obtaining more accurate results of measuring the contact resistance and additional information by analyzing the statistical and spatial distribution of input data. To test the method, the Au–Ge–TiB₂–Au contact to n-n⁺-GaAs was used. The analysis of frequency distribution for the total resistance, specific contact resistance, and surface resistance of the semiconductor has been carried out. The spatial distribution of these parameters has been analyzed. By taking the linear gradient of specific resistivity into account, the value of the contact resistance has been clarified. We have achieved a reduction of half-width of the distribution by 14%, that is, a reduction of the error in determining the contact resistance. The method has been developed for correctly analyzing the impacts of technological treatments and degradation processes and has been oriented towards research purposes. Evaluation of the gradient distributions of the contact resistance and the resistance of the semiconductor can be used to identify the defects in the technological processes of manufacturing devices.