Machine learning based prediction of dissolution kinetics in silicate glasses

N. M. Anoop Krishnan, Sujith Mangalathu, Morten Mattrup Smedskjær, Adama Tandia, Mathieu Bauchy

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

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Original language	English
Publication date	20 May 2018
Number of pages	1
Publication status	Published - 20 May 2018
Event	2018 Glass and Optical Materials Division Annual Meeting - Hilton Palacio del Rio, San Antonio, United States Duration: 20 May 2018 → 24 May 2018 http://ceramics.org/gomd2018

Conference	2018 Glass and Optical Materials Division Annual Meeting
Location	Hilton Palacio del Rio
Country/Territory	United States
City	San Antonio
Period	20/05/2018 → 24/05/2018
Internet address	http://ceramics.org/gomd2018

Access to Document

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year = "2018",

month = may,

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language = "English",

note = "2018 Glass and Optical Materials Division Annual Meeting ; Conference date: 20-05-2018 Through 24-05-2018",

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Machine learning based prediction of dissolution kinetics in silicate glasses. / Krishnan, N. M. Anoop; Mangalathu, Sujith; Smedskjær, Morten Mattrup et al.
2018. Abstract from 2018 Glass and Optical Materials Division Annual Meeting, San Antonio, Texas, United States.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Machine learning based prediction of dissolution kinetics in silicate glasses

AU - Krishnan, N. M. Anoop

AU - Mangalathu, Sujith

AU - Smedskjær, Morten Mattrup

AU - Tandia, Adama

AU - Bauchy, Mathieu

PY - 2018/5/20

Y1 - 2018/5/20

M3 - Conference abstract for conference

T2 - 2018 Glass and Optical Materials Division Annual Meeting

Y2 - 20 May 2018 through 24 May 2018

ER -