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First European platform open to researchers/industries outside of the consortium where batteries can be tested following...

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Protocol for SEI composition and degradation prediction

Project: BIG-MAP

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Project acronym BIG-MAP

Report on battery interface ontology case study

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Tiered theory and experiment screening pipeline as first test case for automatic reasoning calibration

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Updated BIG-MAP App-store

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Demonstrator of a simulation run by an experiment, and an experiment run by a simulation

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Battery Interface Ontology published according to standards in the European modelling community

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Final Dissemination report

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Advanced direct SEI investigations for chemistry neutral lithium-based batteries by integrated high throughput electroch...

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Global BIG-MAP experimental matrix, proof-of-concept of BIG-MAP experimental workflow and definition of perspectives and...

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Report on lab-scale and large-scale facilities automated and standardized data analysis

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Demonstrate transfer of select model(s) to novel battery materials/chemistry

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Strain and collapse during lithiation of layered transition metal oxides: a unified picture

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Online data analysis tools made available to the whole community

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Demonstration of automated synthesis procedure

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Demonstration of the capability to run coordinated multi-techniques experiments to acquire multi-scale data, and practic...

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Report on inorganic coatings prepared by combinatorial syntheses

Project: BIG-MAP

Updated at: 13-08-2024

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Project acronym BIG-MAP

Jahn–Teller Distortions and Phase Transitions in LiNiO2: Insights from Ab Initio Molecular Dynamics and Variable-Tempe...

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Mechanistic understanding of the correlation between structure and dynamics of liquid carbonate electrolytes: Impact of ...

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Resolving the Role of Configurational Entropy in Improving Cycling Performance of Multicomponent Hexacyanoferrate Cathod...

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Machine learning based energy-free structure predictions of molecules (closed and open-shell), transition states, and so...

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Perspectives on manufacturing simulations of Li-S battery cathodes

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Identification of interphase descriptor dynamics for test system

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space.

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Computationally Efficient Quasi-3D Model of a Secondary Electrode Particle for Enhanced Prediction Capability of the Por...

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

How beam damage can skew synchrotron operando studies of batteries

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Toward Operando Characterization of Interphases in Batteries

Project: BIG-MAP

Updated at: 27-04-2024

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Project acronym BIG-MAP

Resources

Selected filters:

First European platform open to researchers/industries outside of the consortium where batteries can be tested following...

Protocol for SEI composition and degradation prediction

Report on battery interface ontology case study

Tiered theory and experiment screening pipeline as first test case for automatic reasoning calibration

Updated BIG-MAP App-store

Demonstrator of a simulation run by an experiment, and an experiment run by a simulation

Battery Interface Ontology published according to standards in the European modelling community

Final Dissemination report

Advanced direct SEI investigations for chemistry neutral lithium-based batteries by integrated high throughput electroch...

Global BIG-MAP experimental matrix, proof-of-concept of BIG-MAP experimental workflow and definition of perspectives and...

Report on lab-scale and large-scale facilities automated and standardized data analysis

Demonstrate transfer of select model(s) to novel battery materials/chemistry

Strain and collapse during lithiation of layered transition metal oxides: a unified picture

Online data analysis tools made available to the whole community

Demonstration of automated synthesis procedure

Demonstration of the capability to run coordinated multi-techniques experiments to acquire multi-scale data, and practic...

Report on inorganic coatings prepared by combinatorial syntheses

Jahn–Teller Distortions and Phase Transitions in LiNiO2: Insights from Ab Initio Molecular Dynamics and Variable-Tempe...

Mechanistic understanding of the correlation between structure and dynamics of liquid carbonate electrolytes: Impact of ...

Resolving the Role of Configurational Entropy in Improving Cycling Performance of Multicomponent Hexacyanoferrate Cathod...

Machine learning based energy-free structure predictions of molecules (closed and open-shell), transition states, and so...

Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries

Perspectives on manufacturing simulations of Li-S battery cathodes

Identification of interphase descriptor dynamics for test system

wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflows

Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space.

Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials

Computationally Efficient Quasi-3D Model of a Secondary Electrode Particle for Enhanced Prediction Capability of the Por...

How beam damage can skew synchrotron operando studies of batteries

Toward Operando Characterization of Interphases in Batteries