Leveraging machine learning in porous media

M Delpisheh, B Ebrahimpour, A Fattahi… - Journal of Materials …, 2024 - pubs.rsc.org
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

[HTML][HTML] Advanced microstructure characterization and microstructural evolution of porous cermet electrodes in solid oxide cells: A comprehensive review

W Yang, Z Pan, Z Jiao, Z Zhong, R O'Hayre - Energy Reviews, 2025 - Elsevier
Solid oxide cells (SOCs), capable of interconverting electrical and chemical energy, have
emerged as one of the key technologies for the future multi-energy complementary grid …

[HTML][HTML] AI-enabled materials discovery for advanced ceramic electrochemical cells

IT Bello, R Taiwo, OC Esan, AH Adegoke, AO Ijaola… - Energy and AI, 2024 - Elsevier
Ceramic electrochemical cells (CECs) are promising devices for clean and efficient energy
conversion and storage due to their high energy efficiency, more extended system durability …

Cross-scale transient analysis and optimization of electrode morphology evolution in direct-ammonia solid oxide fuel cells

Y Wang, S Zhao, Z Guo, Q Fu, Q Du, M Ni… - Energy Conversion and …, 2024 - Elsevier
Direct-ammonia solid oxide fuel cells (DA-SOFCs) represents a highly promising energy
conversion technology, enabling direct utilization of ammonia (NH 3) as fuel. However, the …

A novel control strategy to neutralize internal heat source within solid oxide electrolysis cell (SOEC) under variable solar power conditions

Z Liang, S Chen, M Ni, J Wang, M Li - Applied Energy, 2024 - Elsevier
The integration of solid oxide electrolysis cells (SOECs) with a photovoltaic (PV) system
presents a viable method of storing variable solar energy through the production of green …

Experimental investigation of operating characteristics of proton exchange membrane fuel cell with different anode strategies based on the segmented cell

J Liang, B Wang, Y Yin, K Jiao - International Journal of Green …, 2024 - Taylor & Francis
In this study, we investigated the operating characteristics of large-scale proton exchange
membrane (PEM) fuel cells under different anode strategies, including flow-through mode …

Discovering two general characteristic times of transient responses in solid oxide cells

Z Liang, J Wang, K Ren, Z Jiao, M Ni, L An… - Nature …, 2024 - nature.com
A comprehensive understanding of the transient characteristics in solid oxide cells (SOCs) is
crucial for advancing SOC technology in renewable energy storage and conversion …

[HTML][HTML] Short-term performance degradation prediction of proton exchange membrane fuel cell based on discrete wavelet transform and Gaussian process regression

F Zhang, B Wang, Z Gong, Z Qin, Y Yin, T Guo, F Wang… - Next Energy, 2023 - Elsevier
Proton exchange membrane fuel cell (PEMFC) is regarded as one of the most promising
energy conversion devices, but cost and durability are two challenges that hinder its large …

[HTML][HTML] Kinetic Monte Carlo (KMC) simulation of sintering of nickel oxide-yttria stabilized zirconia composites: Model, parameter calibration and validation

S Zhou, X Liu, Z Yan, S Hara, N Shikazono, Z Zhong - Materials & Design, 2023 - Elsevier
This study proposes a kinetic Monte Carlo (KMC) model for the sintering of two-phase
composites using nickel oxide-yttria stabilized zirconia (NiO-YSZ) as a case study. An …

Manufacturing Process Optimization in the Process Industry

S Liu, H Cheng - International Journal of Information Technology and …, 2024 - igi-global.com
This paper introduces a technology, a data-driven optimization model of manufacturing
service in intelligent manufacturing process using deep learning algorithm and resource …