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[HTML][HTML] Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis
This study explores the evolution and impact of research on the challenges and
opportunities in the implementation of artificial intelligence (AI) in manufacturing between …
opportunities in the implementation of artificial intelligence (AI) in manufacturing between …
Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions
ABSTRACT Nickel‐Zinc (Ni‐Zn) batteries offer an interesting alternative for the expanding
electrochemical energy storage industry due to their high‐power density, low cost, and …
electrochemical energy storage industry due to their high‐power density, low cost, and …
Time‐Dependent Deep Learning Manufacturing Process Model for Battery Electrode Microstructure Prediction
DE Galvez‐Aranda, TL Dinh, U Vijay… - Advanced Energy …, 2024 - Wiley Online Library
The manufacturing process of Lithium‐ion battery electrodes directly affects the practical
properties of the cells, such as their performance, durability, and safety. While computational …
properties of the cells, such as their performance, durability, and safety. While computational …
[HTML][HTML] Machine learning-driven optimization of gas diffusion layer microstructure for PEM fuel cells
Abstract The Gas Diffusion Layer (GDL) is a vital component within Proton Exchange
Membrane Fuel Cells (PEMFCs), playing a crucial role in mass and heat transport …
Membrane Fuel Cells (PEMFCs), playing a crucial role in mass and heat transport …
The ARTISTIC Battery Manufacturing Digitalization Initiative: From Fundamental Research to Industrialization
JF Troncoso, FM Zanotto… - Batteries & …, 2025 - Wiley Online Library
Our ARTISTIC project was born in 2018 to improve the efficiency of lithium‐ion battery cell
manufacturing process through computational modelling, allowing the research and …
manufacturing process through computational modelling, allowing the research and …
Coating Feature Analysis and Capacity Prediction for Digitalization of Battery Manufacturing: An Interpretable AI Solution
Battery production line is crucial for determining the performance of batteries, further
significantly affecting the industrial applications of relevant energy systems. As a complex …
significantly affecting the industrial applications of relevant energy systems. As a complex …
[HTML][HTML] Carbon-Binder-Domain porosity extraction through lithium-ion battery electrode impedance data
In the field of 3-D resolved computational modeling of Lithium-ion battery electrodes, the
arrangement and properties of the Carbon-Binder-Domain (CBD) play a critical role in the …
arrangement and properties of the Carbon-Binder-Domain (CBD) play a critical role in the …
Interdependencies in Electrode Manufacturing: A Comprehensive Study Based on Design Augmentation and Explainable Machine Learning
S Haghi, Y Chen, A Molzberger… - Batteries & …, 2024 - Wiley Online Library
Electrode manufacturing, as the core of battery cell production, is a complex process chain
with a large number of interrelated parameters. An in‐depth understanding of the processes …
with a large number of interrelated parameters. An in‐depth understanding of the processes …
[HTML][HTML] A machine learning tool to investigate lithium-ion battery degradation under real automotive conditions
In electric vehicle applications, operating conditions heavily affect the battery cell lifetime
and cost. The aging process of Lithium-ion Battery (LiB) cells is influenced by numerous …
and cost. The aging process of Lithium-ion Battery (LiB) cells is influenced by numerous …
[HTML][HTML] Multi-objective optimization of lithium-ion battery designs considering the dilemma between energy density and rate capability
Electrified transportation requires batteries with high energy density and high-rate capability
for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal …
for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal …