Deep Learning to Speed up the Development of Structure–Property Relations For Hexagonal Boron Nitride and Graphene-Reference-Cited by-同舟云学术

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Deep Learning to Speed up the Development of Structure–Property Relations For Hexagonal Boron Nitride and Graphene

Published:2019-04-10 Issue:19 Volume:15 Page:1900656
ISSN:1613-6810
Container-title:Small
language:en
Short-container-title:Small

Author:

Hundi Prabhas¹,Shahsavari Rouzbeh¹²^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering Rice University Houston TX 77005 USA

2. C‐Crete Technologies LLC Stafford TX 77477 USA

Funder

National Science Foundation

National Institutes of Health

Publisher

Wiley

Subject

Biomaterials,Biotechnology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smll.201900656

Reference38 articles.

1. Biomimetic, Strong, Tough, and Self-Healing Composites Using Universal Sealant-Loaded, Porous Building Blocks

2. Mapping the coupled role of structure and materials in mechanics of platelet-matrix composites

3. Insights on synergy of materials and structures in biomimetic platelet-matrix composites

4. Bioinspired structural materials

5. Mechanical strength of abalone nacre: Role of the soft organic layer

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4. Machine learning for structure-property mapping of Ising models: Scalability and limitations;Physical Review E;2023-12-13

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