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Jie Chen

Orcid: 0000-0001-9772-765X

Affiliations:
  • Northwestern University, Department of Mechanical Engineering, Evanston, IL, USA
  • Arizona State University, School for Engineering of Matter, Transport, and Energy, Tempe, AZ, USA


According to our database1, Jie Chen authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
High-dimensional design of kirigami patches metamaterials using physics-based machine learning with uncertainty quantification.
[BibTeX]
[DOI]
Jinyang Li
,
Jyotshna Bali
,
Ko-Lin Wang
,
Suyi Li
,
Jie Chen
Adv. Eng. Informatics, 2026

2025
Graph representation of local environments for learning high-entropy alloy properties.
[BibTeX]
[DOI]
Hengrui Zhang
,
Ruishu Huang
,
Jie Chen
,
James M. Rondinelli
,
Wei Chen
Mach. Learn. Sci. Technol., 2025

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring.
[BibTeX]
[DOI]
Vispi Karkaria
,
Jie Chen
,
Christopher Luey
,
Chase Siuta
,
Damien Lim
,
Robert Radulescu
,
Wei Chen
J. Comput. Inf. Sci. Eng., 2025

Uncertainty quantification driven machine learning for improving model accuracy in imbalanced regression tasks.
[BibTeX]
[DOI]
Tuba Dolar
,
Jie Chen
,
Wei Chen
Expert Syst. Appl., 2025

2024
Do Graph Neural Networks Work for High Entropy Alloys?
[BibTeX]
[DOI]
Hengrui Zhang
,
Ruishu Huang
,
Jie Chen
,
James M. Rondinelli
,
Wei Chen
CoRR, 2024

Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning.
[BibTeX]
[DOI]
Jie Chen
,
Pengfei Ou
,
Yuxin Chang
,
Hengrui Zhang
,
Xiao-Yan Li
,
Edward H. Sargent
,
Wei Chen
CoRR, 2024

Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization.
[BibTeX]
[DOI]
Vispi Karkaria
,
Anthony Goeckner
,
Rujing Zha
,
Jie Chen
,
Jianjing Zhang
,
Qi Zhu
,
Jian Cao
,
Robert X. Gao
,
Wei Chen
CoRR, 2024

2023
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling.
[BibTeX]
[DOI]
Hengrui Zhang
,
Jie Chen
,
James M. Rondinelli
,
Wei Chen
CoRR, 2023

2022
Physics-guided mixture density networks for uncertainty quantification.
[BibTeX]
[DOI]
Jie Chen
,
Yang Yu
,
Yongming Liu
Reliab. Eng. Syst. Saf., 2022

Neural Optimization Machine: A Neural Network Approach for Optimization.
[BibTeX]
[DOI]
Jie Chen
,
Yongming Liu
CoRR, 2022

2021
Probabilistic physics-guided machine learning for fatigue data analysis.
[BibTeX]
[DOI]
Jie Chen
,
Yongming Liu
Expert Syst. Appl., 2021


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