Model-driven design of bioactive glasses: from molecular dynamics through machine learning-Reference-Cited by-同舟云学术

Model-driven design of bioactive glasses: from molecular dynamics through machine learning

Published:2019-12-06 Issue:5 Volume:65 Page:297-321
ISSN:0950-6608
Container-title:International Materials Reviews
language:en
Short-container-title:International Materials Reviews

Author:

Montazerian Maziar¹^ORCID,Zanotto Edgar D.¹^ORCID,Mauro John C.²^ORCID

Affiliation:

1. Department of Materials Engineering (DEMa), Center for Research, Technology and Education in Vitreous Materials (CeRTEV), Federal University of São Carlos (UFSCar), São Carlos, Brazil

2. Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, USA

Publisher

Informa UK Limited

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/09506608.2019.1694779

Reference212 articles.

1. The frontiers and the challenges

2. Boosting materials modelling

3. Fuelling discovery by sharing

4. The glassy state of matter: Its definition and ultimate fate

5. Understanding Glass through Differential Scanning Calorimetry

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