Ab initio calculations of phosphorus and arsenic clustering parameters for the improvement of process simulation models
- 1. Integrated Systems Laboratory, ETH Zurich, Gloriastrasse 35, 8092 Zurich (Switzerland)
- 2. Synopsys Switzerland LLC, Affolternstrasse 52, 8050 Zurich (Switzerland)
Description
We present the results of extensive ab initio simulations for phosphorus clusters, arsenic clusters and mixed phosphorus/arsenic clusters in silicon. The specific defects and the parameters that are investigated are selected according to the needs of state-of-the-art diffusion and activation models, taking into account the availability of experimental data, the capabilities of current ab initio methods and the requirements for advanced technology development. The calculated binding energies are used to determine a good starting point for the calibration of a new clustering model implemented in an atomistic process simulator. The defect species V, I, P, PV, PI, As, AsV, AsI and clusters containing up to four dopant atoms and up to one V or I are considered in all relevant charge states. The ab initio results are discussed as well as the challenges arising in the transfer of this information into the process simulation model
Availability note (English)
Available from http://dx.doi.org/10.1016/j.mseb.2008.09.047Additional details
Identifiers
- DOI
- 10.1016/j.mseb.2008.09.047;
- PII
- S0921-5107(08)00404-2;
Publishing Information
- Journal Title
- Materials Science and Engineering. B, Solid-State Materials for Advanced Technology
- Journal Volume
- 154-155
- Journal Page Range
- p. 193-197
- ISSN
- 0921-5107
- CODEN
- MSBTEK
Conference
- Title
- Symposium I: Front-end junction and contact formation in future silicon/germanium based devices
- Acronym
- EMRS 2008 spring meeting
- Dates
- 26-30 May 2008
- Place
- Strasbourg (France)
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 40085789
- Subject category
- S36: MATERIALS SCIENCE;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- ARSENIC; AVAILABILITY; BINDING ENERGY; CALIBRATION; CHARGE STATES; CLUSTER MODEL; DEFECTS; EXPERIMENTAL DATA; MOLECULAR CLUSTERS; PHOSPHORUS; SILICON; SIMULATION
- Descriptors DEC
- DATA; ELEMENTS; ENERGY; INFORMATION; MATHEMATICAL MODELS; NONMETALS; NUCLEAR MODELS; NUMERICAL DATA; SEMIMETALS
Optional Information
- Copyright
- Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.