Evaluation of chemical erosion data for carbon materials at high ion fluxes 
using Bayesian probability theory

Dose, V.; Preuss, R.; Roth, J.

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Evaluation of chemical erosion data for carbon materials at high ion fluxes using Bayesian probability theory

Dose, V., Preuss, R., & Roth, J. (2001). Evaluation of chemical erosion data for carbon materials at high ion fluxes using Bayesian probability theory. Journal of Nuclear Materials, 288, 153-162. Retrieved from http://www.sciencedirect.com/science/journal/00223115.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-4560-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-4561-8

Genre: Journal Article

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Creators:
Dose, V.¹, Author
Preuss, R.^{1, 2}, Author
Roth, J.³, Author

Affiliations:
1Surface Science (OP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856288
2Centre for Interdisciplinary Plasma Science (CIPS), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2074325
3Material Research (MF), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856328

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Language(s): eng - English

Dates: Date issued: 2001

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 233244
URI: http://www.sciencedirect.com/science/journal/00223115
Other: CIPS Reprint No. 42

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Title: Journal of Nuclear Materials

Alternative Title : J. Nucl. Mater.

Source Genre: Journal

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Pages: - Volume / Issue: 288 Sequence Number: - Start / End Page: 153 - 162 Identifier: ISSN: 0022-3115