Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

By Zijiang Yang, Y. Yabansu, Reda Al-Bahrani, W. Liao, Alok N. Choudhary, Surya R. Kalidindi, Ankit Agrawal. 2018

343 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Materials Chemistry, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/e24a200047ef729c01279a6dfd8c635d8466e622

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Paris Perdikaris
2. Suvranu De
3. G. Em Karniadakis
4. Chris Wolverton
5. Ellen Kuhl
6. Anthony Nouy
7. Xiaoliang Wan
8. Dongbin Xiu

In Materials Chemistry

1. Shyue Ping Ong
2. Chi Chen
3. Rohit Batra
4. Anubhav Jain
5. Rampi Ramprasad
6. Alok N. Choudhary
7. G. Em Karniadakis
8. Chris Wolverton

In Mechanics of Materials

1. Rohit Batra
2. Chi Chen
3. Suvranu De
4. G. Em Karniadakis
5. Ellen Kuhl
6. Shyue Ping Ong
7. Rampi Ramprasad
8. Elyas Shivanian

Citations in the corpus

• Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences (2019, methodology): “Examples: Predicting mechanical properties using microscale volume elements through deep learning [Yang et al., 2018a], classifying red blood cells in sickle cell anemia [Xu et al., 2017], and inferring the solution of multi-scale partial differential equations [Zhu et al., 2019].”
• Emerging materials intelligence ecosystems propelled by machine learning (2020, background): “…transfer from smaller length scales (structural information) to bigger length scales (macroscopic properties) — and the localization — information transfer from bigger length scales (macroscopic stress) to smaller length scales (load distribution across structure) — aspects of PSPP 170,171 .”
• Recent advances and applications of deep learning methods in materials science (2021, background): “com/NU-CUCIS/HomogenizationDL [261] LocalizationDL https://github.”