Summary
New energy storage solutions are required for enabling a sustainable society. Solid-state batteries (SSBs) are promising candidates due to their safety and higher energy density compared to conventional batteries. Particularly, the adoption of solid-state electrolytes with a disordered structure, i.e., glassy electrolytes, has garnered attention due to their superior ionic conductivity, interfacial stability, and reduced dendrite formation compared to crystal electrolytes. However, challenges related to brittle fracture, scalable production, and multiscale modeling impede large-scale commercialization of SSBs.
This project aims to establish a multiscale, multiphysics model for glassy electrolytes in SSBs across varying length and time scales. Initially, deep learning force fields for two glassy electrolyte families, namely lithium-aluminum-titanium-phosphate and lithium thiosilicate, will be developed based on training data generated using ab initio molecular dynamics (Work Package 1). Based on this, large-scale molecular dynamics simulations will be used to clarify the lithium diffusion and fracture mechanisms within the glassy electrolytes at the atomic scale (Work Package 2). Lastly, a multiscale, multiphysics model will be constructed by integrating finite element methods with macro atomistic ab initio dynamics simulations to simultaneously account for electrochemical reactions, heat transfer, and mechanical deformation (Work Package 3).
Aalborg University's excellent research environment and the expertise of the fellow applicant (multiphysics modeling) and supervisor (molecular dynamics, glasses) will ensure the achievement of the project’s objectives and the broad dissemination of the findings. By advancing theoretical insights into the behavior of glassy electrolytes, the study will contribute to safer and more efficient batteries. The fellow applicant will also emerge from the project with new skills and the ability to lead an independent research group.
This project aims to establish a multiscale, multiphysics model for glassy electrolytes in SSBs across varying length and time scales. Initially, deep learning force fields for two glassy electrolyte families, namely lithium-aluminum-titanium-phosphate and lithium thiosilicate, will be developed based on training data generated using ab initio molecular dynamics (Work Package 1). Based on this, large-scale molecular dynamics simulations will be used to clarify the lithium diffusion and fracture mechanisms within the glassy electrolytes at the atomic scale (Work Package 2). Lastly, a multiscale, multiphysics model will be constructed by integrating finite element methods with macro atomistic ab initio dynamics simulations to simultaneously account for electrochemical reactions, heat transfer, and mechanical deformation (Work Package 3).
Aalborg University's excellent research environment and the expertise of the fellow applicant (multiphysics modeling) and supervisor (molecular dynamics, glasses) will ensure the achievement of the project’s objectives and the broad dissemination of the findings. By advancing theoretical insights into the behavior of glassy electrolytes, the study will contribute to safer and more efficient batteries. The fellow applicant will also emerge from the project with new skills and the ability to lead an independent research group.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101148843 |
| Start date: | 01-02-2025 |
| End date: | 31-01-2027 |
| Total budget - Public funding: | - 230 774,00 Euro |
Cordis data
Original description
New energy storage solutions are required for enabling a sustainable society. Solid-state batteries (SSBs) are promising candidates due to their safety and higher energy density compared to conventional batteries. Particularly, the adoption of solid-state electrolytes with a disordered structure, i.e., glassy electrolytes, has garnered attention due to their superior ionic conductivity, interfacial stability, and reduced dendrite formation compared to crystal electrolytes. However, challenges related to brittle fracture, scalable production, and multiscale modeling impede large-scale commercialization of SSBs.This project aims to establish a multiscale, multiphysics model for glassy electrolytes in SSBs across varying length and time scales. Initially, deep learning force fields for two glassy electrolyte families, namely lithium-aluminum-titanium-phosphate and lithium thiosilicate, will be developed based on training data generated using ab initio molecular dynamics (Work Package 1). Based on this, large-scale molecular dynamics simulations will be used to clarify the lithium diffusion and fracture mechanisms within the glassy electrolytes at the atomic scale (Work Package 2). Lastly, a multiscale, multiphysics model will be constructed by integrating finite element methods with macro atomistic ab initio dynamics simulations to simultaneously account for electrochemical reactions, heat transfer, and mechanical deformation (Work Package 3).
Aalborg University's excellent research environment and the expertise of the fellow applicant (multiphysics modeling) and supervisor (molecular dynamics, glasses) will ensure the achievement of the project’s objectives and the broad dissemination of the findings. By advancing theoretical insights into the behavior of glassy electrolytes, the study will contribute to safer and more efficient batteries. The fellow applicant will also emerge from the project with new skills and the ability to lead an independent research group.
Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
29-09-2024
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