[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …
applications. The current motivation to improve the robustness of lithium-ion battery …
[HTML][HTML] based microfluidic fuel cells and their applications: A prospective review
Since they firstly appeared in 2014, paper-based microfluidic fuel cells (PMFC) have
received great attention in the past few years, mainly being used for sensors, wearable …
received great attention in the past few years, mainly being used for sensors, wearable …
Artificial intelligence technologies in bioprocess: opportunities and challenges
Y Cheng, X Bi, Y Xu, Y Liu, J Li, G Du, X Lv, L Liu - Bioresource Technology, 2023 - Elsevier
Bioprocess control and optimization are crucial for tapping the metabolic potential of
microorganisms, and which have made great progress in the past decades. Combination of …
microorganisms, and which have made great progress in the past decades. Combination of …
Investigation on the thermal control and performance of PCM–porous media-integrated heat sink systems: Deep neural network modelling employing experimental …
Phase change material (PCM)-based heat sinks can offer reliable and effective thermal
management (TM) solutions for increasingly sophisticated applications. A critical aspect of …
management (TM) solutions for increasingly sophisticated applications. A critical aspect of …
Computational modeling studies on microfluidic fuel cell: A prospective review
Microfluidic fuel cell (MFC) is a burgeoning category of micro fuel cell technology based on
laminar flow electrolytes. The merits of MFC, such as the absence of membrane electrolyte …
laminar flow electrolytes. The merits of MFC, such as the absence of membrane electrolyte …
A critical review on artificial intelligence for fuel cell diagnosis
SC Kishore, S Perumal, R Atchudan, M Alagan… - Catalysts, 2022 - mdpi.com
In recent years, fuel cell (FC) technology has seen a promising increase in its proportion in
stationary power production. Several pilot projects are in operation across the world, with the …
stationary power production. Several pilot projects are in operation across the world, with the …
Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and …
Membraneless microfluidic fuel cells (MMFCs) offer great potential for clean energy
production, but their expense and tedious optimization process have limited their wider use …
production, but their expense and tedious optimization process have limited their wider use …
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
In the rapidly evolving landscape of electrochemical energy storage (EES), the advent of
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
artificial intelligence (AI) has emerged as a keystone for innovation in material design …
Enhancing the performance of paper-based microfluidic fuel cell via optimization of material properties and cell structures: A review
L Li, H Huang, XM Lin, X Fan, Y Sun, W Zhou… - Energy Conversion and …, 2024 - Elsevier
Paper-based microfluidic fuel cell (PMFC) has attracted great attention in the microfluidic
fuel cell field in recent years. It utilizes the spontaneous capillary flow of reactant solutions in …
fuel cell field in recent years. It utilizes the spontaneous capillary flow of reactant solutions in …
Smart optimization and investigation of a PCMs-filled helical finned-tubes double-pass solar air heater: An experimental data-driven deep learning approach
Abstract Solar Air Heaters (SAHs), widely utilized for space heating and drying in residential
and commercial settings, exhibit performance dependent on several operational …
and commercial settings, exhibit performance dependent on several operational …