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Personal profile

Education/Academic qualification

PhD, California Institute of Technology

… → 1981

MS, California Institute of Technology

… → 1977

Engineering Science , BS, University of Illinois at Chicago

… → 1976

Research interests

  • Computational biology
  • Computational nanotechnology
  • Linear and nonlinear fluid structure interactions
  • Modeling of MEMS and NEMS devices
  • Multi-scale analysis and design
  • Nonlinear finite elements
  • Reproducing kernel particle and wavelets

Fingerprint Dive into the research topics where Wing K Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Finite element method Engineering & Materials Science
3D printers Engineering & Materials Science
Fluid structure interaction Engineering & Materials Science
Reproducing Kernel Particle Method Mathematics
Microstructure Engineering & Materials Science
Fluids Engineering & Materials Science
finite element method Physics & Astronomy
Molecular dynamics Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2001 2023

Research Output 1978 2020

Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers

Gao, J., Shakoor, M., Domel, G., Merzkirch, M., Zhou, G., Zeng, D., Su, X. & Liu, W. K., Jan 20 2020, In : Composites Science and Technology. 186, 107922.

Research output: Contribution to journalArticle

Carbon fibers
Polymers
Fibers
carbon fiber
4 Citations (Scopus)

A cellular automaton finite volume method for microstructure evolution during additive manufacturing

Lian, Y., Gan, Z., Yu, C., Kats, D., Liu, W. K. & Wagner, G. J., May 5 2019, In : Materials and Design. 169, 107672.

Research output: Contribution to journalArticle

Open Access
3D printers
Finite volume method
Cellular automata
Crystal microstructure
Microstructure

A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications

Liu, W. K., Karniadakis, G., Tang, S. & Yvonnet, J., Aug 15 2019, In : Computational Mechanics. 64, 2, p. 275-277 3 p.

Research output: Contribution to journalEditorial

Open Access
Computational mechanics
Computational Mechanics
Data-driven
Data structures
Modeling and Simulation

A data-driven multiscale theory for modeling damage and fracture of composite materials

Shakoor, M., Gao, J., Liu, Z. & Liu, W. K., Jan 1 2019, Meshfree Methods for Partial Differential Equations IX, 2017. Griebel, M., Schweitzer, M. A., Griebel, M. & Schweitzer, M. A. (eds.). Springer Verlag, p. 135-148 14 p. (Lecture Notes in Computational Science and Engineering; vol. 129).

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

Composite Materials
Data-driven
Microstructure
Clustering Analysis
Damage

An inverse modeling approach for predicting filled rubber performance

Gao, J., Shakoor, M., Jinnai, H., Kadowaki, H., Seta, E. & Liu, W. K., Dec 1 2019, In : Computer Methods in Applied Mechanics and Engineering. 357, 112567.

Research output: Contribution to journalArticle

rubber
Rubber
learning
Electron microscopes
electron microscopes