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Impedance analysis of electrochemical systems
Interpretation of impedance spectroscopy data requires both a description of the chemistry
and physics that govern the system and an assessment of the error structure of the …
and physics that govern the system and an assessment of the error structure of the …
Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis
L Cao, J Liu, C Jiang, G Liu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
Polynomial chaos expansion has received considerable attention in uncertainty
quantification since its great modeling capability for complex systems. However, considering …
quantification since its great modeling capability for complex systems. However, considering …
Investigating and quantifying the effects of catalyst layer gradients, operating conditions, and their interactions on PEMFC performance through global sensitivity …
A gradient cathode catalyst layer (CCL) with promoted mass transfer and Pt utilization could
enhance the output performance of proton exchange membrane fuel cells (PEMFCs). Since …
enhance the output performance of proton exchange membrane fuel cells (PEMFCs). Since …
Enhancing PEM fuel cell dynamic performance: Co-optimization of cathode catalyst layer composition and operating conditions using a novel surrogate model
Optimizing the cathode catalyst layer (CCL) composition and operating conditions to
enhance the dynamic performance of proton exchange membrane fuel cells garners …
enhance the dynamic performance of proton exchange membrane fuel cells garners …
A framework for predicting the carbonation depth of concrete incorporating fly ash based on a least squares support vector machine and metaheuristic algorithms
The carbonation of concrete structures is becoming a more serious problem as the global
CO 2 level increases, and poses a great challenge to concrete durability research. In this …
CO 2 level increases, and poses a great challenge to concrete durability research. In this …
Multi-objective optimization of protonic ceramic electrolysis cells based on a deep neural network surrogate model
Protonic ceramic electrolysis cell (PCEC) stands out as a promising device to realize large-
scale green hydrogen production. This research is dedicated to advancing the optimization …
scale green hydrogen production. This research is dedicated to advancing the optimization …
Uncertainty assessment of a semi-empirical output voltage model for proton exchange membrane fuel cells
X Liu, Y Yang, L Zhang, S Zhou, L Xu, C **e… - International Journal of …, 2023 - Elsevier
An accurate model of proton exchange membrane fuel cell (PEMFC) is essential for its
characterization, performance analysis, and design of optimal control strategies. However …
characterization, performance analysis, and design of optimal control strategies. However …
A deep-learning-boosted surrogate model of a metal foam based protonic ceramic electrolysis cell stack for uncertainty quantification
Protonic ceramic electrolysis cells (PCECs) are widely considered as an emerging
technology that shows capability for enabling environmentally friendly large-scale …
technology that shows capability for enabling environmentally friendly large-scale …
Quantifying operating uncertainties of a PEMFC–Monte Carlo-machine learning based approach
To enhance efficiency, maintain performance and prolong the lifetime of a PEMFC
functioning under diverse operating conditions, development of robust control strategies …
functioning under diverse operating conditions, development of robust control strategies …
A global sensitivity analysis method applied to wind farm power output estimation models
JA Carta, S Díaz, A Castañeda - Applied Energy, 2020 - Elsevier
This paper proposes a global sensitivity analysis method applied to wind farm power output
estimation models. The relevance of a global sensibility analysis is that it allows …
estimation models. The relevance of a global sensibility analysis is that it allows …