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Wing K Liu

  • 26575 Citations
1978 …2023
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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.

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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

Manipulating Nanoparticle-Modified Melt Pool Dynamics in Additive Manufacturing

Liu, W. K. & Wagner, G. J.

National Science Foundation

12/1/19 → 11/30/23

Project: Research project

manufacturing
nanoparticles
physics
metals
lasers

Liu Subproject for CHiMaD

Liu, W. K.

National Institute of Standards and Technology

1/1/19 → 12/31/23

Project: Research project

Industrial applications
Artificial intelligence
Learning systems
Costs
Genes

Liu- Stochastic Self-Consistent Clustering Theory for Composite Performance Prediction: from extreme value microstructure attributes to design of interphase for toughness

Chen, W. & Liu, W. K.

Duke University, Air Force Office of Scientific Research

9/30/18 → 9/29/22

Project: Research project

Toughness
Microstructure
Composite materials
Polymer matrix composites
Defects

Modelling the Phenomenon of Asymmetric Loading of the Middle Column in the Erect Growing Thoracic and Lumber Spine Leading to the Induction or Initiation of Scoliosis

Liu, W. K.

Ann & Robert H. Lurie Children's Hospital of Chicago

9/1/18 → 8/31/20

Project: Research project

Scoliosis
Biomechanical Phenomena
Spine
Thorax

Process modeling software for additive manufacturing of metals

Ehmann, K., Fleming, M. A., Liu, W. K. & Wagner, G. J.

Beijing Institute of Collaborative Innovation

9/1/18 → 8/31/20

Project: Research project

3D printers
Program processors
Cooling
Metals
Flow velocity

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 journal › Article

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 journal › Article

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 journal › Editorial

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 proceeding › Conference 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 journal › Article

rubber
Rubber
learning
Electron microscopes
electron microscopes