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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

Multiphysics-Informed Machine Learning for Mechanical-Induced Degradation of Silicon Anode

Parth Bansal, Yumeng Li
Proc. ASME. IMECE2023, Volume 11: Mechanics of Solids, Structures and Fluids, V011T12A008, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113404
https://doi.org/10.1115/IMECE2023-113404
View Paper titled, Multiphysics-Informed Machine Learning for Mechanical-Induced Degradation of Silicon Anode
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Topics: Anodes, Cracking (Materials), Delamination, Fracture (Process), Lithium-ion batteries, Machine learning, Silicon
Proceedings Papers

Feature Importance and Uncertainty Quantification of Machine Learning Model in Materials Science

Zhichen Liu, Akash Singh, Yumeng Li
Proc. ASME. IMECE2023, Volume 11: Mechanics of Solids, Structures and Fluids, V011T12A007, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-112990
https://doi.org/10.1115/IMECE2023-112990
View Paper titled, Feature Importance and Uncertainty Quantification of Machine Learning Model in Materials Science
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Topics: Machine learning, Materials science, Simulation, Uncertainty quantification
Proceedings Papers

Multi-Physics Simulation for Morphology Design of Si Anode

Parth Bansal, Yumeng Li
Proc. ASME. IMECE2023, Volume 7: Energy, V007T08A050, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113107
https://doi.org/10.1115/IMECE2023-113107
View Paper titled, Multi-Physics Simulation for Morphology Design of Si Anode
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Topics: Anodes, Design, Lithium-ion batteries, Physics, Simulation, Stress
Proceedings Papers

Control Co-Design of Battery Packs With Immersion Cooling

Zheng Liu, Jiaxin Wu, Wuchen Fu, Pouya Kabirzadeh, In-Bum Chung, Mohammed Jubair Dipto, Nenad Miljkovic, Pingfeng Wang, Yumeng Li
Proc. ASME. IMECE2023, Volume 2: Advanced Design and Information Technologies, V002T02A016, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-112873
https://doi.org/10.1115/IMECE2023-112873
View Paper titled, Control Co-Design of Battery Packs With Immersion Cooling
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Topics: Batteries, Cooling, Design
Proceedings Papers

Understanding Governing Physical Mechanism of Bio-Inspired Nanostructured Antifouling Coating

Akash Singh, Yumeng Li
Proc. ASME. IMECE2023, Volume 4: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V004T04A052, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113115
https://doi.org/10.1115/IMECE2023-113115
View Paper titled, Understanding Governing Physical Mechanism of Bio-Inspired Nanostructured Antifouling Coating
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Topics: Bacteria, Biomimetics, Coating processes, Coatings, Membranes, Molecular dynamics
Proceedings Papers

Machine Learning Accelerated Atomistic Simulations for 2D Materials With Defects

Shijie Sun, Akash Singh, Yumeng Li
Proc. ASME. IMECE2023, Volume 4: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V004T04A066, October 29–November 2, 2023
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2023-113427
https://doi.org/10.1115/IMECE2023-113427
View Paper titled, Machine Learning Accelerated Atomistic Simulations for 2D Materials With Defects
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Topics: Artificial neural networks, Graphene, Machine learning, Simulation
Proceedings Papers

Multiphysics-Informed Machine Learning for Battery Design and Health Monitoring

Parth Bansal, Yumeng Li
Proc. ASME. IDETC-CIE2023, Volume 3A: 49th Design Automation Conference (DAC), V03AT03A037, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117113
https://doi.org/10.1115/DETC2023-117113
View Paper titled, Multiphysics-Informed Machine Learning for Battery Design and Health Monitoring
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Topics: Anodes, Batteries, Design, Lithium-ion batteries, Machine learning
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

Uncertainty Quantification on Mechanical Behavior of Corroded Plate With Statistical Shape Modeling

Hao Wu, Parth Bansal, Zheng Liu, Yumeng Li, Pingfeng Wang
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A051, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117050
https://doi.org/10.1115/DETC2023-117050
View Paper titled, Uncertainty Quantification on Mechanical Behavior of Corroded Plate With Statistical Shape Modeling
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Topics: Corrosion, Finite element analysis, Mechanical behavior, Modeling, Shapes, Uncertainty quantification
Proceedings Papers

How to Encode Microstructure in Machine Learning: A Comparison Study

Yulun Wu, Yumeng Li
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A032, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116704
https://doi.org/10.1115/DETC2023-116704
View Paper titled, How to Encode Microstructure in Machine Learning: A Comparison Study
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Topics: Artificial neural networks, Encryption, Machine learning
Proceedings Papers

Physics-Informed Multitask Learning for Material Development

Yulun Wu, Yumeng Li
Proc. ASME. SSDM2023, ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference, V001T03A012, June 19–21, 2023
Publisher: American Society of Mechanical Engineers
Paper No: SSDM2023-108449
https://doi.org/10.1115/SSDM2023-108449
View Paper titled, Physics-Informed Multitask Learning for Material Development
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Topics: Artificial neural networks, Physics, Design, Computer simulation, Displacement, Robustness, Simulation results
Proceedings Papers

Bactericidal Effects of Micropillars: A Molecular Dynamics Study

Akash Singh, Yumeng Li
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T03A001, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95325
https://doi.org/10.1115/IMECE2022-95325
View Paper titled, Bactericidal Effects of Micropillars: A Molecular Dynamics Study
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Topics: Bacteria, Biomimetics, Molecular dynamics, Design, Molecular dynamics simulation, Wings, Dimensions, Engineering simulation, Modeling, Simulation
Proceedings Papers

Machine Learning Potentials for Graphene

Akash Singh, Yumeng Li
Proc. ASME. IMECE2022, Volume 3: Advanced Materials: Design, Processing, Characterization and Applications; Advances in Aerospace Technology, V003T03A036, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95341
https://doi.org/10.1115/IMECE2022-95341
View Paper titled, Machine Learning Potentials for Graphene
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Topics: Artificial neural networks, Density functional theory, Graphene, Machine learning, Molecular dynamics simulation
Proceedings Papers

Uncertainty Quantification on Galvanic Corrosion Based on Adaptive Surrogate Modeling

Parth Bansal, Zhuoyuan Zheng, Yumeng Li
Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T12A005, October 30–November 3, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2022-95333
https://doi.org/10.1115/IMECE2022-95333
View Paper titled, Uncertainty Quantification on Galvanic Corrosion Based on Adaptive Surrogate Modeling
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Topics: Corrosion, Electrolytic corrosion, Machine learning, Metamodeling, Physics, Resilience, Uncertainty quantification
Proceedings Papers

Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment

Parth Bansal, Zhuoyuan Zheng, Yumeng Li
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A039, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89654
https://doi.org/10.1115/DETC2022-89654
View Paper titled, Uncertainty Quantification for Dissimilar Material Joints Under Corrosion Environment
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Topics: Corrosion, Machine learning, Physics, Resilience, Uncertainty quantification
Proceedings Papers

Design of Three-Dimensional Bi-Continuous Silicon Based Electrode Materials for High Energy Density Batteries

Zhuoyuan Zheng, Zheng Liu, Pingfeng Wang, Yumeng Li
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A046, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89652
https://doi.org/10.1115/DETC2022-89652
View Paper titled, Design of Three-Dimensional Bi-Continuous Silicon Based Electrode Materials for High Energy Density Batteries
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Topics: Anodes, Density, Design, Electrodes, Physics, Silicon
Journal Articles

Mechanical Analysis of a Thermo-Hydroforming Fiber-Reinforced Composite Using a Preferred Fiber Orientation Model and Considering Viscoelastic Properties

Hyunchul Ahn, Taejoon Park, Yumeng Li, Sang Young Yeo, Farhang Pourboghrat
Journal: Journal of Manufacturing Science and Engineering
Publisher: ASME
Article Type: Research Papers
J. Manuf. Sci. Eng. February 2022, 144(2): 021008.
Paper No: MANU-21-1187
https://doi.org/10.1115/1.4051825
Published Online: August 5, 2021
View Article titled, Mechanical Analysis of a Thermo-Hydroforming Fiber-Reinforced Composite Using a Preferred Fiber Orientation Model and Considering Viscoelastic Properties
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Topics: Composite materials, Deformation, Fibers, Viscoelasticity, Fiber reinforced composites, Shapes, Numerical analysis, Molding, Stability, Stress
Proceedings Papers

Numerical Study on Antibacterial Effects of Bio-Inspired Nanostructured Surface

Zhouyuan Zheng, Parth Bansal, Yumeng Li
Proc. ASME. IMECE2020, Volume 12: Mechanics of Solids, Structures, and Fluids, V012T12A019, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-23594
https://doi.org/10.1115/IMECE2020-23594
View Paper titled, Numerical Study on Antibacterial Effects of Bio-Inspired Nanostructured Surface
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Topics: Bacteria, Biomimetics, Finite element analysis, Finite element model, Geometry, Materials properties, Polymers, Stress, Wings
Proceedings Papers

Corrosion Modeling and Prognosis of the Al-Fe Self-Pierce Riveting Joints

Zhouyuan Zheng, Parth Bansal, Pingfeng Wang, Chenhui Shao, Yumeng Li
Proc. ASME. IMECE2020, Volume 14: Safety Engineering, Risk, and Reliability Analysis, V014T14A017, November 16–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2020-23597
https://doi.org/10.1115/IMECE2020-23597
View Paper titled, Corrosion Modeling and Prognosis of the Al-Fe Self-Pierce Riveting Joints
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Topics: Corrosion, Finite element model, Modeling, Riveting