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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 14 Similar Profiles
Nanocomposites Engineering & Materials Science
Polyethylene Chemical Compounds
Carbon Nanotubes Chemical Compounds
Carbon nanotubes Engineering & Materials Science
Polyethylenes Engineering & Materials Science
nanocomposites Physics & Astronomy
Polymers Chemical Compounds
carbon nanotubes Physics & Astronomy

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Research Output 2011 2018

  • 5 Conference contribution
  • 4 Article
  • 1 Paper

Multiscale modeling of the interface effects in CNT-epoxy nanocomposites

Li, Y. & Seidel, G. D., Oct 2018, In : Computational Materials Science. 153, p. 363-381 19 p.

Research output: Contribution to journalArticle

Multiscale Modeling
Carbon Nanotubes
Epoxy
Nanocomposites
Nanotubes

System resilience through control-guided failure restoration

Yodo, N., Wang, P. & Li, Y., Jan 1 2018, AIAA Non-Deterministic Approaches. 209969 ed. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Non-Deterministic Approaches Conference, 2018; no. 209969).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Restoration
Systems analysis
Recovery
Engineering research
Control theory

Uncertainty quantification of artificial neural network based machine learning potentials

Li, Y., Xiao, W. & Wang, P., Jan 1 2018, Materials: Genetics to Structures. American Society of Mechanical Engineers (ASME), (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); vol. 12).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Neural networks
Potential energy surfaces
Materials science
Titanium dioxide

Uncertainty quantification of machine learning potentials for atomistic simulation

Xiao, W., Li, Y. & Wang, P., Jan 1 2018, AIAA Non-Deterministic Approaches. 209969 ed. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Non-Deterministic Approaches Conference, 2018; no. 209969).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Potential energy surfaces
Learning systems
Parameterization
Titanium dioxide
Interpolation

Microscale modeling of creep deformation and rupture in Nickel-based superalloy IN 617 at high temperature

Phan, V. T., Zhang, X., Li, Y. & Oskay, C., Nov 2017, In : Mechanics of Materials. 114, p. 215-227 13 p.

Research output: Contribution to journalArticle

Inconel (trademark)
heat resistant alloys
Nickel
Superalloys
microbalances