Wing K Liu

Professor, Mechanical Engineering
Professor, Civil and Environmental Engineering
Walter P Murphy Professor, Mechanical Engineering
Mechanical Engineering PhD Program
Theoretical and Applied Mechanics PhD Program
Director (Academic), CAMSIM - Collaboratory for Advanced Material Systems and Simulation

Phone847/491-7094
Emailw-liu@northwestern.edu

Source: Scopus

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Personal profile

Research Interests

Development of multiscale theories, methods, and software for the design and analysis of large scale engineering material systems, materials design, manufacturing, bio-sensing, and drug delivery.

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

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6 Active
42 Finished

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
Liu Subproject for CHiMaD
Liu, W. K.
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
Liu- Stochastic Self-Consistent Clustering Theory for Composite Performance Prediction: from extreme value microstructure attributes to design of interphase for toughness
Liu, W. K.
Duke University, Air Force Office of Scientific Research
9/30/18 → 9/29/22
Project: Research project
REU Supplement for Data-driven multiscale damage and failure prediction
Liu, W. K.
National Science Foundation
7/15/18 → 7/14/21
Project: Research project
Data-driven multiscale damage and failure prediction
Liu, W. K.
National Science Foundation
7/15/18 → 7/14/21
Project: Research project

28706 Citations
384 Article
71 Conference contribution
46 Chapter
23 Conference article
More

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering
Saha, S., Gan, Z., Cheng, L., Gao, J., Kafka, O. L., Xie, X., Li, H., Tajdari, M., Kim, H. A. & Liu, W. K., Jan 1 2021, In: Computer Methods in Applied Mechanics and Engineering. 373, 113452.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction
Tajdari, M., Pawar, A., Li, H., Tajdari, F., Maqsood, A., Cleary, E., Saha, S., Zhang, Y. J., Sarwark, J. F. & Liu, W. K., Feb 1 2021, In: Computer Methods in Applied Mechanics and Engineering. 374, 113590.
Research output: Contribution to journal › Article › peer-review

Open Access
MAP123-EPF: A mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain
Tang, S., Yang, H., Qiu, H., Fleming, M., Liu, W. K. & Guo, X., Jan 1 2021, In: Computer Methods in Applied Mechanics and Engineering. 373, 113484.
Research output: Contribution to journal › Article › peer-review
Adaptive hyper reduction for additive manufacturing thermal fluid analysis
Lu, Y., Jones, K. K., Gan, Z. & Liu, W. K., Dec 1 2020, In: Computer Methods in Applied Mechanics and Engineering. 372, 113312.
Research output: Contribution to journal › Article › peer-review
A hierarchical multiscale model for the elastic-plastic damage behavior of 3D braided composites at high temperature
He, C., Ge, J., Zhang, B., Gao, J., Zhong, S., Liu, W. K. & Fang, D., Aug 18 2020, In: Composites Science and Technology. 196, 108230.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations