Grants per year
Personal profile
Research Interests
Simulation-based design under uncertainty; data science in design and advanced manufacturing; stochastic multiscale analysis and materials design; design of metamaterials; multidisciplinary optimization; consumer choice modeling and decision-based design.
Education/Academic qualification
Mechanical Engineering, PhD, Georgia Institute of Technology
… → 1995
Mechanical Engineering, MS, University of Houston
… → 1992
Mechanical Engineering, BS, Shanghai Jiao Tong University
… → 1988
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative Research: DMREF: Accelerated Design, Discovery, and Deployment of Electronic Phase Transitions (ADEPT)
10/1/23 → 9/30/27
Project: Research project
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Chen: Northwestern University Materials Research Science and Engineering Center
9/1/23 → 8/31/29
Project: Research project
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Collaborative Research: Designing Polymer Grafted-Nanoparticle Melts through a Hierarchical Computational Approach
3/1/23 → 2/28/26
Project: Research project
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BRITE Fellow: AI-Enabled Discovery and Design of Programmable Material Systems
1/1/23 → 12/31/27
Project: Research project
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NSF Engineering Research Center for Hybrid Autonomous Manufacturing Moving Evolution to Revolution (HAMMER)
Cao, J., Cao, J., Carruthers, B. G., Carruthers, B. G., Chen, W., Chen, W., Ehmann, K., Ehmann, K., Guo, P. & Guo, P.
Ohio State University, National Science Foundation
9/1/22 → 8/31/27
Project: Research project
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A network-based discrete choice model for decision-based design
Sha, Z., Cui, Y., Xiao, Y., Stathopoulos, A., Contractor, N., Fu, Y. & Chen, W., Mar 24 2023, In: Design Science. 9, e7.Research output: Contribution to journal › Article › peer-review
Open Access -
Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization
Li, H., Knapik, S., Li, Y., Park, C., Guo, J., Mojumder, S., Lu, Y., Chen, W., Apley, D. W. & Liu, W. K., Aug 2023, In: Computational Mechanics. 72, 2, p. 363-382 20 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Descriptor Aided Bayesian Optimization for Many-Level Qualitative Variables With Materials Design Applications
Iyer, A., Yerramilli, S., Rondinelli, J. M., Apley, D. W. & Chen, W., Mar 1 2023, In: Journal of Mechanical Design - Transactions of the ASME. 145, 3, 031701.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Digital twins for the designs of systems: a perspective
van Beek, A., Nevile Karkaria, V. & Chen, W., Mar 2023, In: Structural and Multidisciplinary Optimization. 66, 3, 49.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
ET-AL: Entropy-targeted active learning for bias mitigation in materials data
Zhang, H., Chen, W., Rondinelli, J. M. & Chen, W., Jun 1 2023, In: Applied Physics Reviews. 10, 2, 021403.Research output: Contribution to journal › Article › peer-review
3 Scopus citations
Datasets
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A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Zhang, Y. (Creator), Tao, S. (Creator), Chen, W. (Creator) & Apley, D. (Creator), Taylor & Francis, 2019
DOI: 10.6084/m9.figshare.8398376, https://tandf.figshare.com/articles/dataset/A_Latent_Variable_Approach_to_Gaussian_Process_Modeling_with_Qualitative_and_Quantitative_Factors/8398376
Dataset