About this Research Topic
Demand for the electrification of the transport industry and economical energy storage devices is leading the growth of battery development and research. Understanding the physics of materials and manufacturing processes will help tune the production of energy storage devices and will optimize performance by controlling the texturing of materials, improving quality, increasing safety, enhancing thermal performance, and reducing wastes.
This Research Topic focuses on the different stages of manufacturing energy storage materials (mainly Li-ion battery electrodes and structural batteries), ranging from materials characteristics (chemistry, rheology, topology, and micro-/meso-structure), processing methods (tape casting, slot-die coating/casting, screen printing, nanocomposite manufacturing), and post-processing stages (calendaring, drying, and sintering).
The aim of this Research Topic is to unravel the potentials of using physics-based modelling (a combination of thermal, chemical, flow, and structural models), new experimental techniques, and emerging areas such as artificial intelligence and machine learning, to remove the current hurdles of the high value manufacturing of energy storage materials. Researchers from both academia and industry are welcome to present their work.
Areas of particular interest to be covered in this Research Topic include, but are not limited to, the following:
• The role of materials characteristics on the manufacturing of energy storage materials, particularly thermal characteristics, properties, and performance
• The manufacturing of energy storage materials (e.g. ceramics and nanocomposites)
• Post-processing of energy storage materials (calendaring, drying, and sintering)
• Physics-based modelling and computational approaches (multiscale multiphysics modelling, continuum and discrete modelling)
• Applications of new techniques (e.g. X-ray and nano-computed tomography) in designing energy storage materials
• The use of machine learning, data mining, artificial intelligence, statistical learning, and/or data-driven modelling in the manufacturing of energy storage materials
This Research Topic focuses on the different stages of manufacturing energy storage materials (mainly Li-ion battery electrodes and structural batteries), ranging from materials characteristics (chemistry, rheology, topology, and micro-/meso-structure), processing methods (tape casting, slot-die coating/casting, screen printing, nanocomposite manufacturing), and post-processing stages (calendaring, drying, and sintering).
The aim of this Research Topic is to unravel the potentials of using physics-based modelling (a combination of thermal, chemical, flow, and structural models), new experimental techniques, and emerging areas such as artificial intelligence and machine learning, to remove the current hurdles of the high value manufacturing of energy storage materials. Researchers from both academia and industry are welcome to present their work.
Areas of particular interest to be covered in this Research Topic include, but are not limited to, the following:
• The role of materials characteristics on the manufacturing of energy storage materials, particularly thermal characteristics, properties, and performance
• The manufacturing of energy storage materials (e.g. ceramics and nanocomposites)
• Post-processing of energy storage materials (calendaring, drying, and sintering)
• Physics-based modelling and computational approaches (multiscale multiphysics modelling, continuum and discrete modelling)
• Applications of new techniques (e.g. X-ray and nano-computed tomography) in designing energy storage materials
• The use of machine learning, data mining, artificial intelligence, statistical learning, and/or data-driven modelling in the manufacturing of energy storage materials
Keywords: Energy Storage Materials, Rheology, Manufacturing, Physics-based Modelling, New Experimental Techniques, Materials Chemistry, Machine Learning, Artificial Intelligence, Thermal Performance, Thermal Energy
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
