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Journal Articles

Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information

Yanwen Xu, Hao Wu, Zheng Liu, Pingfeng Wang, Yumeng Li
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2024, 146(8): 081704.
Paper No: MD-23-1618
https://doi.org/10.1115/1.4064492
Published Online: March 5, 2024
View Article titled, Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information
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Topics: Design, Design under uncertainty, Machine learning, Metamodeling, Optimization, Reliability, Reliability-based optimization, Uncertainty, Complex systems, Uncertainty quantification
Proceedings Papers

Mean Time to Failure Prediction for Complex Systems With Adaptive Surrogate Modeling

Hao Wu, Yanwen Xu, Zheng Liu, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A051, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117177
https://doi.org/10.1115/DETC2023-117177
View Paper titled, Mean Time to Failure Prediction for Complex Systems With Adaptive Surrogate Modeling
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Topics: Complex systems, Failure, Metamodeling
Proceedings Papers

Data-Driven Control Co-Design for Indirect Liquid Cooling Plate With Microchannels for Battery Thermal Management

Zheng Liu, Yanwen Xu, Hao Wu, Pingfeng Wang, Yumeng Li
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A048, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116921
https://doi.org/10.1115/DETC2023-116921
View Paper titled, Data-Driven Control Co-Design for Indirect Liquid Cooling Plate With Microchannels for Battery Thermal Management
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Topics: Batteries, Cooling, Design, Microchannels, Thermal management
Proceedings Papers

Multi-Task Multi-Fidelity Machine Learning for Reliability-Based Design With Partially Observed Information

Yanwen Xu, Hao Wu, Zheng Liu, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A036, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117032
https://doi.org/10.1115/DETC2023-117032
View Paper titled, Multi-Task Multi-Fidelity Machine Learning for Reliability-Based Design With Partially Observed Information
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Topics: Design, Event history analysis, Machine learning, Optimization, Reliability
Proceedings Papers

Data-Driven Design of High Electron Mobility Transistor Devices Using Physics-Informed Gaussian Process Modeling

Anabel Renteria, Yanwen Xu, Bayan Hamdan, Zhou Li, Sergio Cordero, Debbie G. Senesky, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A014, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117200
https://doi.org/10.1115/DETC2023-117200
View Paper titled, Data-Driven Design of High Electron Mobility Transistor Devices Using Physics-Informed Gaussian Process Modeling
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Topics: Data-driven design, Design, High-electron-mobility transistors, Modeling, Optimization, Physics, Simulation
Journal Articles

Sequential Sampling-Based Asymptotic Probability Estimation of High-Dimensional Rare Events

Yanwen Xu, Pingfeng Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2023, 145(10): 101701.
Paper No: MD-22-1783
https://doi.org/10.1115/1.4062790
Published Online: July 19, 2023
View Article titled, Sequential Sampling-Based Asymptotic Probability Estimation of High-Dimensional Rare Events
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Topics: Failure, Probability, Simulation
Proceedings Papers

Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling

Yanwen Xu, Zhuoyuan Zheng, Kanika Arora, Debbie G. Senesky, Pingfeng Wang
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A028, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-91196
https://doi.org/10.1115/DETC2022-91196
View Paper titled, Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling
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Topics: Design, Finite element model, Hall effect, Magnetic sensors, Modeling, Optimization, Physics, Sensors
Proceedings Papers

Hierarchical Surrogate Modeling With Multiple Order Partially Observed Information

Yanwen Xu, Pingfeng Wang
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A025, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89655
https://doi.org/10.1115/DETC2022-89655
View Paper titled, Hierarchical Surrogate Modeling With Multiple Order Partially Observed Information
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Topics: Metamodeling, Complex systems, Computers, Design, Engineering design, Engineering systems and industry applications, Modeling, Optimization, Pressing, Simulation
Proceedings Papers

Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement

Zhuoyuan Zheng, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro V. M. Costa, Alvaro M. Costa, Carlos H. B. Morais, Pingfeng Wang
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A024, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90496
https://doi.org/10.1115/DETC2022-90496
View Paper titled, Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement
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Topics: Carbon dioxide, Ocean engineering, Reliability-based optimization, Design, Supercritical carbon dioxide, Uncertainty, Construction, Reliability, Storage, Carbon capture and storage
Proceedings Papers

An Enhanced Squared Exponential Kernel With Manhattan Similarity Measure for High Dimensional Gaussian Process Models

Yanwen Xu, Pingfeng Wang
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A025, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-71445
https://doi.org/10.1115/DETC2021-71445
View Paper titled, An Enhanced Squared Exponential Kernel With Manhattan Similarity Measure for High Dimensional Gaussian Process Models
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Topics: Dimensions, Engineering design
Proceedings Papers

Sequential Sampling Based Reliability Analysis for High Dimensional Rare Events With Confidence Intervals

Yanwen Xu, Pingfeng Wang
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A039, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22146
https://doi.org/10.1115/DETC2020-22146
View Paper titled, Sequential Sampling Based Reliability Analysis for High Dimensional Rare Events With Confidence Intervals
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Topics: Engineering systems and industry applications, Errors, Event history analysis, Failure, Monte Carlo methods, Probability, Simulation, Theorems (Mathematics)
Journal Articles

A Gaussian Process-Based Crack Pattern Modeling Approach for Battery Anode Materials Design

Zhuoyuan Zheng, Bo Chen, Yanwen Xu, Nathan Fritz, Yashraj Gurumukhi, John Cook, Mehmet N. Ates, Nenad Miljkovic, Paul V. Braun, Pingfeng Wang
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. February 2021, 18(1): 011011.
Paper No: JEECS-19-1155
https://doi.org/10.1115/1.4046938
Published Online: May 11, 2020
View Article titled, A Gaussian Process-Based Crack Pattern Modeling Approach for Battery Anode Materials Design
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Topics: Anodes, Design, Fracture (Materials), Modeling, Silicon, Physics, Electrodes, Batteries, Fracture (Process)
Proceedings Papers

A Comparison of Numerical Optimizers in Developing High Dimensional Surrogate Models

Yanwen Xu, Pingfeng Wang
Proc. ASME. IDETC-CIE2019, Volume 2B: 45th Design Automation Conference, V02BT03A037, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97499
https://doi.org/10.1115/DETC2019-97499
View Paper titled, A Comparison of Numerical Optimizers in Developing High Dimensional Surrogate Models
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Topics: Computation, Design, Dimensions, Engineering design, Maximum likelihood estimation, Modeling, Optimization, Quadratic programming, Robustness, Simulation
Proceedings Papers

Gaussian Process Based Crack Initiation Modeling for Design of Battery Anode Materials

Zhuoyuan Zheng, Yanwen Xu, Bo Chen, Pingfeng Wang
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A054, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97547
https://doi.org/10.1115/DETC2019-97547
View Paper titled, Gaussian Process Based Crack Initiation Modeling for Design of Battery Anode Materials
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Topics: Anodes, Batteries, Design, Fracture (Materials), Modeling, Physics, Silicon