20112019

Research output per year

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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.

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Research Output

  • 5 Conference contribution
  • 5 Article
  • 1 Paper

Effective design space exploration of gradient nanostructured materials using active learning based surrogate models

Chen, X., Zhou, H. & Li, Y., Dec 5 2019, In : Materials and Design. 183, 108085.

Research output: Contribution to journalArticle

Open Access
  • 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

  • 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

  • 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

  • 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