Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
Geologic carbon sequestration (GCS) is a safety-critical technology that aims to reduce the
amount of carbon dioxide in the atmosphere, which also places high demands on reliability …
amount of carbon dioxide in the atmosphere, which also places high demands on reliability …
Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model
J Wang, S Gao, L Yu, D Zhang, C **e, K Chen… - Reliability Engineering & …, 2023 - Elsevier
Lightning-related failures are of great concerns for the reliable performance of overhead
contact lines (OCLs) of high-speed railway. Predicting lightning-related failure probability is …
contact lines (OCLs) of high-speed railway. Predicting lightning-related failure probability is …
An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics
This paper proposes an approach that combines reduced-order models with machine
learning in order to create an digital twin to predict the power distribution over the core …
learning in order to create an digital twin to predict the power distribution over the core …
Machine learning for soft and liquid molecular materials
This review discusses three types of soft matter and liquid molecular materials, namely
hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent …
hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent …
Uncertainty analysis of ATF Cr-coated-Zircaloy on BWR in-vessel accident progression during a station blackout
The deposition of protective coatings on nuclear fuel cladding has been considered as a
near-term Accident Tolerant Fuel (ATF) concept that will reduce the high-temperature …
near-term Accident Tolerant Fuel (ATF) concept that will reduce the high-temperature …
An open time-series simulated dataset covering various accidents for nuclear power plants
Nuclear energy plays an important role in global energy supply, especially as a key low-
carbon source of power. However, safe operation is very critical in nuclear power plants …
carbon source of power. However, safe operation is very critical in nuclear power plants …
Comparison of GRNN and RF algorithms for predicting heat transfer coefficient in heat exchange channels with bulges
In the research of heat transfer, heat exchanger plays an important role in highly integrated
and high-precision thermal management to ensure the thermal balance. In previous studies …
and high-precision thermal management to ensure the thermal balance. In previous studies …
Review of vibration induced by gas-liquid two-phase flow inside pipes
L Ding, Y Fu, X Li, J Ran - Ocean Engineering, 2025 - Elsevier
Two-phase flow is a prevalent phenomenon encountered in engineering systems. In
pipelines, the existence of two-phase flow introduces more intricate fluctuations in the …
pipelines, the existence of two-phase flow introduces more intricate fluctuations in the …
Flow measurement uncertainty quantification for building central cooling systems with multiple water-cooled chillers using a Bayesian approach
Measurement uncertainty has significant negative impacts on the operation and control of
heating, ventilation and air conditioning systems. It is a big challenge and should be solved …
heating, ventilation and air conditioning systems. It is a big challenge and should be solved …
Sparse moment quadrature for uncertainty modeling and quantification
X Guan - Reliability Engineering & System Safety, 2024 - Elsevier
This study presents the Sparse Moment Quadrature (SMQ) method, a new uncertainty
quantification technique for high-dimensional complex computational models. These models …
quantification technique for high-dimensional complex computational models. These models …