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Electrochemical energy storage: the atomistic design perspective

24 SEPTEMBERClessidre 8948209:00 - 10:30

 
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ROOM 5
ENVIRONMENT & ENERGY
MATERIALS FOR BATTERIES
TT.IX Technical Multi-Track with Parallel SYMPOSIA
Electrochemical energy storage: the atomistic design perspective
Co-organized with ENEA
Chair: Francesco BUONOCORE- CV, ENEA - Co-Chair: Margherita MORENO - CV, ENEA

Batteries will have a key role in the transition towards a clean energy-based world. Indeed, secondary batteries possess high energy density, flexibility and great conversion efficiency. The rapid increase of energy storage demand (both for electric vehicles and stationary), could lead to the depletion of the limited and centered resources increasing the overall cost.

Therefore, in recent years research is focusing on the discovery of new materials enabling alternative low cost, long lasting, storage systems. Computational materials science accelerates the screening playing a key role in the quest. Batteries are a very complex system, composed of a number of cells connected either in parallel or series, and each cell is a stack of anodes, cathodes and electrolyte layers, composed of multiple and different materials.

Therefore, various theoretical approaches on different scales must be adopted to describe the full cell. In this session the current status of the field will be assessed with an emphasis toward present key advances and future needs.

The symposium is part of the Symposia 
TT.IX.B.1
SY.XXI.1
Francesco BUONOCORE - CV & Margherita MORENO - CV
ENEA
An introduction to the atomistic design of materials for electrochemical energy storage
BUONOCORE Francesco MORENO Margherita PPT col
TT.IX.B.2
SY.XXI.2
Michele PAVONE - CV
University of Napoli, Federico II
Ab initio modeling of electrode and electrode-electrolyte interfaces in post-Li batteries
 
PAVONE Michele PPT eceded
TT.IX.B.3
SY.XXI.3
Otello Maria ROSCIONI - CV
Material X, UK
A computational journey from the electronic structure to the mesoscale... and back!
 
ROSCIONI Otello Maria PPT col
TT.IX.B.4
SY.XXI.4
Alan PASTORELLI - CV
Flash Battery
Towards a predictive analysis, diagnose and maintenance of batteries: data set optimisation, an industrial perspective

 
PASTORELLI Alan 2021 Microfono 2
 

 
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