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Directed Evolution of Metastable Electrocatalyst Interfaces for Energy Conversio...

Directed Evolution of Metastable Electrocatalyst Interfaces for Energy Conversion It is our aim to transform the research field of electrocatalysis from the established “initial (as-synthesized) state approach” to a data-centric understanding of the metastable active interface of electrocatalysts, constantly ev... ver más

31/12/2029

UCPH

10M€

Presupuesto del proyecto: 10M€

Líder del proyecto

KOBENHAVNS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-01-01

ERC-2023-SyG: ERC Synergy Grants Objective:The aim is to provide support for a small group of two to four Principal Investigators to...

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Duración del proyecto: 71 meses Fecha Inicio: 2024-01-01
Fecha Fin: 2029-12-31

Líder del proyecto

KOBENHAVNS UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 10M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto It is our aim to transform the research field of electrocatalysis from the established “initial (as-synthesized) state approach” to a data-centric understanding of the metastable active interface of electrocatalysts, constantly evolving under reaction conditions. We want to overcome the limitations of elemental or binary alloy catalysts by exploring and exploiting high entropy materials (HEM) as a discovery platform for sustainable materials, with the aim to identify in the extremely large, multidimensional search space new electrocatalysts that are both stable and active.To understand and control the active interface of HEM electrocatalysts, we combine the core expertises of the PIs: theoretical modelling and simulations, high-throughput synthesis and characterization, nanoparticle synthesis, electrochemical operando techniques as well as machine learning. Our synergistic approach will significantly advance these individual competences by key conceptual innovations: (i) Evolutionary screening of micro-libraries to efficiently identify stable materials covering the complete HEM composition space; (ii) Accelerated atomic-scale characterization of HEM surfaces by combining combinatorial HEM synthesis with atom probe tomography; (iii) High-throughput operando experiments with thin film material libraries; (iv) Developing inverse activity-structure relationships and theoretical descriptors for metastability; v) Implementing active learning approaches based on materials informatics and using a semantic data lake.We will establish a theory of metastability as a core concept for the understanding of electrocatalysis for the most important energy conversion reactions: oxygen reduction and evolution, and CO2 reduction. Instead of passively accepting the degradation of catalysts during operation, we will direct the evolution through the highly multidimensional space towards long-lasting, active HEM interfaces.

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