Leveraging machine learning in porous media
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
membrane (PEM) fuel cells under different anode strategies, including flow-through mode …
Discovering two general characteristic times of transient responses in solid oxide cells
A comprehensive understanding of the transient characteristics in solid oxide cells (SOCs) is
crucial for advancing SOC technology in renewable energy storage and conversion …
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
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 …
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 …
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 …
service in intelligent manufacturing process using deep learning algorithm and resource …