Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Y Xu, S Kohtz, J Boakye, P Gardoni, P Wang - Reliability Engineering & …, 2023 - Elsevier
The computerized simulations of physical and socio-economic systems have proliferated in
the past decade, at the same time, the capability to develop high-fidelity system predictive …

Machine learning toward advanced energy storage devices and systems

T Gao, W Lu - Iscience, 2021 - cell.com
Technology advancement demands energy storage devices (ESD) and systems (ESS) with
better performance, longer life, higher reliability, and smarter management strategy …

Adaptive surrogate models with partially observed information

Y Xu, A Renteria, P Wang - Reliability Engineering & System Safety, 2022 - Elsevier
Surrogate models have been developed to replace expensive physical models and reduce
the computational cost in various engineering applications, such as reliability analysis and …

Hall-effect sensor design with physics-informed Gaussian process modeling

Y Xu, AV Lalwani, K Arora, Z Zheng… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Magnetic field sensor devices have been widely used to track changes in magnetic flux
concentration, and the Hall sensors are promising in many engineering applications. Design …

Alleviating expansion-induced mechanical degradation in lithium-ion battery silicon anodes via morphological design

SJ Gross, MT Hsieh, DR Mumm, L Valdevit… - Extreme Mechanics …, 2022 - Elsevier
The mechanics of films undergoing volume expansion on curved substrates plays a key role
in a variety of technologies including biomedical implants, thermal and environmental …

Numerical modeling on the delamination-induced capacity degradation of silicon anode

Z Zheng, Z Liu, P Wang, Y Li - Journal of Energy Storage, 2021 - Elsevier
Silicon is a promising candidate for the negative electrode in lithium-ion battery. However,
silicon-based electrodes experience large volume changes during the lithiation-delithiation …

Uncertainty quantification analysis on mechanical properties of the structured silicon anode via surrogate models

Z Zheng, Y Xu, P Wang - Journal of The Electrochemical Society, 2021 - iopscience.iop.org
Silicon anode is the most promising candidate for next generation lithium ion batteries. A
major drawback limiting its application is the significant volume change during lithiation …

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

Y Xu, H Wu, Z Liu, P Wang, Y Li - Journal of …, 2024 - asmedigitalcollection.asme.org
The assessment of system performance and identification of failure mechanisms in complex
engineering systems often requires the use of computation-intensive finite element software …

Design of three-dimensional bi-continuous silicon based electrode materials for high energy density batteries

Z Zheng, Z Liu, P Wang, Y Li - … and Information in …, 2022 - asmedigitalcollection.asme.org
Silicon-based anode is a promising candidate for next generation lithium-ion batteries (LIBs)
with improved energy and power density. However, the practical application of Si anode is …

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

H Wu, Y Xu, Z Liu, P Wang - … and Information in …, 2023 - asmedigitalcollection.asme.org
Abstract The Mean Time to Failure (MTTF) is a critical metric for assessing the reliability of
non-repairable systems, and it plays a significant role in incident management. However …