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/journalConference abstract for conferenceResearchpeer-review

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Original languageEnglish
Publication date20 May 2018
Number of pages1
Publication statusPublished - 20 May 2018
Event2018 Glass and Optical Materials Division Annual Meeting - Hilton Palacio del Rio, San Antonio, United States
Duration: 20 May 201824 May 2018
http://ceramics.org/gomd2018

Conference

Conference2018 Glass and Optical Materials Division Annual Meeting
LocationHilton Palacio del Rio
CountryUnited States
CitySan Antonio
Period20/05/201824/05/2018
Internet address

Cite this

Krishnan, N. M. A., Mangalathu, S., Smedskjær, M. M., Tandia, A., & Bauchy, M. (2018). Machine learning based prediction of dissolution kinetics in silicate glasses. Abstract from 2018 Glass and Optical Materials Division Annual Meeting, San Antonio, United States.
Krishnan, N. M. Anoop ; Mangalathu, Sujith ; Smedskjær, Morten Mattrup ; Tandia, Adama ; Bauchy, Mathieu. / Machine learning based prediction of dissolution kinetics in silicate glasses. Abstract from 2018 Glass and Optical Materials Division Annual Meeting, San Antonio, United States.1 p.
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Krishnan, NMA, Mangalathu, S, Smedskjær, MM, Tandia, A & Bauchy, M 2018, 'Machine learning based prediction of dissolution kinetics in silicate glasses', San Antonio, United States, 20/05/2018 - 24/05/2018, .

Machine learning based prediction of dissolution kinetics in silicate glasses. / Krishnan, N. M. Anoop; Mangalathu, Sujith; Smedskjær, Morten Mattrup; Tandia, Adama; Bauchy, Mathieu.

2018. Abstract from 2018 Glass and Optical Materials Division Annual Meeting, San Antonio, United States.

Research output: Contribution to conference without publisher/journalConference abstract for conferenceResearchpeer-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

ER -

Krishnan NMA, Mangalathu S, Smedskjær MM, Tandia A, Bauchy M. Machine learning based prediction of dissolution kinetics in silicate glasses. 2018. Abstract from 2018 Glass and Optical Materials Division Annual Meeting, San Antonio, United States.