Stochastic Engineering Analysis & Design Lab

Publications

Recent Highlights

Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion
Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion
Changyu Meng, Jie Chen, Luke Hase, Yongming Liu
Additive Manufacturing  ·  Apr 2024
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Jie Chen, Hengrui Zhang, Carolin B. Wahl, Wei Liu, Chad A. Mirkin, Vinayak P. Dravid, Daniel W. Apley, Wei Chen
Proceedings of the National Academy of Sciences  ·  Nov 2023
Multi-fidelity Data Aggregation using Convolutional Neural Networks
Multi-fidelity Data Aggregation using Convolutional Neural Networks
Jie Chen, Yi Gao, Yongming Liu
Computer Methods in Applied Mechanics and Engineering  ·  Mar 2022
Probabilistic physics-guided machine learning for fatigue data analysis
Probabilistic physics-guided machine learning for fatigue data analysis
Jie Chen, Yongming Liu
Expert Systems with Applications  ·  Apr 2021

All

2024

Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization
Vispi Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, Robert X. Gao, Wei Chen
Journal of Manufacturing Systems  ·  Aug 2024
Learning Molecular Mixture Property Using Chemistry-Aware Graph Neural Network
Hengrui Zhang, Tianxing Lai, Jie Chen, Arumugam Manthiram, James M. Rondinelli, Wei Chen
PRX Energy  ·  Jun 2024
Data-driven approaches for fatigue prediction of Ti–6Al–4V parts fabricated by laser powder bed fusion
Rakesh Balamurugan, Jie Chen, Changyu Meng, Yongming Liu
International Journal of Fatigue  ·  May 2024
Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion
Changyu Meng, Jie Chen, Luke Hase, Yongming Liu
Additive Manufacturing  ·  Apr 2024
Tire Life Assessment for Increasing Re‐Manufacturing of Commercial Vehicle Tires
Vispi Karkaria, Jie Chen, Chase Siuta, Damien Lim, Robert Radelescu, Wei Chen
Technology Innovation for the Circular Economy  ·  Jan 2024
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
Vispi Karkaria, Anthony Goeckner, Rujing Zha, Jie Chen, Jianjing Zhang, Qi Zhu, Jian Cao, Robert X. Gao, Wei Chen
arXiv  ·  Jan 2024
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning
Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
arXiv  ·  Jan 2024

2023

A Machine Learning–Based Tire Life Prediction Framework for Increasing Life of Commercial Vehicle Tires
Vispi Karkaria, Jie Chen, Chase Siuta, Damien Lim, Robert Radulescu, Wei Chen
Journal of Mechanical Design  ·  Nov 2023
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Jie Chen, Hengrui Zhang, Carolin B. Wahl, Wei Liu, Chad A. Mirkin, Vinayak P. Dravid, Daniel W. Apley, Wei Chen
Proceedings of the National Academy of Sciences  ·  Nov 2023
Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness
Kaushik Kethamukkala, Changyu Meng, Jie Chen, Yongming Liu
International Journal of Fatigue  ·  Nov 2023
Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning
Jie Chen, Yongming Liu
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  ·  Sep 2023
Automated Crystal System Identification from Four-dimensional Scanning Transmission Electron Microscopy Data Using Brain-inspired Artificial Intelligence
Carolin B Wahl, Jie Chen, Hengrui Zhang, Wei Liu, Shengtong Zhang, Jiezhong Wu, Chad A Mirkin, Vinayak P Dravid, Daniel W Apley, Wei Chen
Microscopy and Microanalysis  ·  Jul 2023
Probabilistic Fatigue Data Analysis Using Physics-Guided Mixture Density Networks
Jie Chen, Yongming Liu
ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference  ·  Jun 2023
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Jie Chen, Hengrui Zhang, Carolin Wahl, Wei Liu, Chad Mirkin, Vinayak Dravid, Daniel Apley, Wei Chen
American Chemical Society (ACS)  ·  May 2023
Crack Surface Analysis of Elastomers Using Transfer Learning
Umar Farooq Ghumman, Qihua Chen, Vincent E. D’Angelo, Michael Clark, Jie Chen, Kenneth R. Shull, Wei Chen
ACS Applied Materials & Interfaces  ·  Mar 2023
Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment
Jie Chen, Changyu Meng, Yi Gao, Yongming Liu
AIAA SCITECH 2023 Forum  ·  Jan 2023
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling
Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
arXiv  ·  Jan 2023
Image-Based Study on Fatigue Crack Initiation Mechanism of Ti-6al-4v Fabricated by Laser Powder Bed Fusion
Changyu Meng, Jie Chen, Luke Hase, Yongming Liu
Elsevier BV  ·  Jan 2023

2022

Physics-guided mixture density networks for uncertainty quantification
Jie Chen, Yang Yu, Yongming Liu
Reliability Engineering & System Safety  ·  Dec 2022
Multi-fidelity neural optimization machine for Digital Twins
Jie Chen, Changyu Meng, Yi Gao, Yongming Liu
Structural and Multidisciplinary Optimization  ·  Nov 2022
Subcycle fatigue crack growth and equivalent initial flaw size model for fatigue life assessment under arbitrary loadings for Al-7075
Sushant Shivankar, Jie Chen, Yongming Liu
International Journal of Fatigue  ·  Mar 2022
Multi-fidelity Data Aggregation using Convolutional Neural Networks
Jie Chen, Yi Gao, Yongming Liu
Computer Methods in Applied Mechanics and Engineering  ·  Mar 2022
Fatigue modeling using neural networks: A comprehensive review
Jie Chen, Yongming Liu
Fatigue & Fracture of Engineering Materials & Structures  ·  Jan 2022
Convolutional Neural Networks for Multi-fidelity Data Aggregation
Jie Chen, Yi Gao, Yongming Liu
AIAA SCITECH 2022 Forum  ·  Jan 2022

2021

Imaging-Based Fatigue Mechanism Investigation of Additively Manufactured Ti-6Al-4V
Jie Chen, Changyu Meng, Yongming Liu
ASME International Mechanical Engineering Congress and Exposition  ·  Nov 2021
Thermal conductivity of metal coated polymer foam: Integrated experimental and modeling study
Rui Dai, Gokul Chandrasekaran, Jie Chen, Chayton Jackson, Yongming Liu, Qiong Nian, Beomjin Kwon
International Journal of Thermal Sciences  ·  Nov 2021
Energy‐based time derivative damage accumulation model under uniaxial and multiaxial random loadings
Shih‐Chuan Tien, Haoyang Wei, Jie Chen, Yongming Liu
Fatigue & Fracture of Engineering Materials & Structures  ·  Oct 2021
Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V
Antriksh Sharma, Jie Chen, Evan Diewald, Anahita Imanian, Jack Beuth, Yongming Liu
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering  ·  Aug 2021
Probabilistic physics-guided machine learning for fatigue data analysis
Jie Chen, Yongming Liu
Expert Systems with Applications  ·  Apr 2021
Bayesian Fatigue Life Prediction of Corroded Steel Reinforcing Bars
Wei Wang, Jie Chen, Bo Diao, Xuefei Guan, Jingjing He, Min Huang
Advances in Civil Engineering  ·  Jan 2021

2020

Bayesian Information Fusion of Multmodality Nondestructive Measurements for Probabilistic Mechanical Property Estimation
Jie Chen, Yongming Liu
ASME International Mechanical Engineering Congress and Exposition  ·  Nov 2020
Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties
Jie Chen, Anahita Imanian, Haoyang Wei, Nagaraja Iyyer, Yongming Liu
International Journal of Fatigue  ·  Nov 2020
Uncertainty quantification of fatigue S-N curves with sparse data using hierarchical Bayesian data augmentation
Jie Chen, Siying Liu, Wei Zhang, Yongming Liu
International Journal of Fatigue  ·  May 2020
Multiaxial high-cycle fatigue life prediction under random spectrum loadings
Haoyang Wei, Patricio Carrion, Jie Chen, Anahita Imanian, Nima Shamsaei, Nagaraja Iyyer, Yongming Liu
International Journal of Fatigue  ·  May 2020
Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates
Jingjing He, Jie Chen, Xuefei Guan
Structural and Multidisciplinary Optimization  ·  Jan 2020

2019

Probabilistic Aging Pipe Strength Estimation Using Multimodality Information Fusion
Jie Chen, Yongming Liu
Annual Conference of the PHM Society  ·  Sep 2019
Multimodality Information Fusion for Aging Pipe Strength and Toughness Estimation Using Bayesian Networks
Yongming Liu, Jie Chen
Annual Conference of the PHM Society  ·  Sep 2019
Multiaxial high-cycle fatigue modelling for random loading
Haoyang Wei, Jie Chen, Patricio Carrion, Anahita Imanian, Nima Shamsaei, Nagaraja Iyyer, Yongming Liu
MATEC Web of Conferences  ·  Jan 2019

2018

Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
Jie Chen, Bo Diao, Jingjing He, Sen Pang, Xuefei Guan
International Journal of Fatigue  ·  May 2018