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MESTUM

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Machine learning based prediction and evaluation of supercapacitor performance o...

Machine learning based prediction and evaluation of supercapacitor performance of transition metal carbide developed by using waste surgical masks during COVID 19 Fossil-free and renewable energy sources are a must for a sustainable society. Pushing the limitation of supercapacitors (SC) beyond their limits by producing metal carbides using as carbon source spent surgical masks, an immense... ver más

31/07/2025

166K€

Presupuesto del proyecto: 166K€

Líder del proyecto

UNIVERZITA PALACKEHO V OLOMOUCI No se ha especificado una descripción o un objeto social para esta compañía.

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-05-12

HORIZON-WIDERA-2022-TALENTS-04-01: Fostering balanced brain circulatio... Expected Outcome:This action will build on the MSCA Postdoctoral Fellowships 2022 action (HORIZON-MS...

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2 Participantes

166.28K€ | Lider

BAM

N.D. | Participante

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Duración del proyecto: 26 meses Fecha Inicio: 2023-05-12
Fecha Fin: 2025-07-31

Líder del proyecto

UNIVERZITA PALACKEHO V OLOMOUCI No se ha especificado una descripción o un objeto social para esta compañía.

Presupuesto del proyecto 166K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Fossil-free and renewable energy sources are a must for a sustainable society. Pushing the limitation of supercapacitors (SC) beyond their limits by producing metal carbides using as carbon source spent surgical masks, an immense side-product burden of COVID-19 pandemic, MESTUM project aims to tackle the worldwide increasing energy demand with highly efficient, stable, environmentally friendly and low-cost electrode materials (EM). The development of EM by transition metal carbides has attracted significant research attention thanks to its high-temperature stability, conductivity, easy operation in aqueous/organic electrolytes and insignificant electrolyte leaching. Easily accessible and abundant, manganese metal carbides, with multiple electron transfer ability, represent an excellent source possessing the key performance markers for SC: Ground-breaking pseudocapacitance and cyclic stability. By exploring the challenge of also generating a porous structure, MESTUM aims to expand an electrochemically active specific surface area and porosity of transition metal carbide and thus deliver a significant growth of specific capacity performance. During synthesis, the ground-breaking approach of turning the porous carbon from the surgical mask into the transition metal structure will orchestrate a brilliant coupling of increasing the surface area and reducing surgical mask waste. For machine learning prediction of specific capacity and cyclic stability, the two most critical performance-related features of SC, the materials properties (morphology, composition, surface area, etc.) and operational conditions (electrolytes, current density, potential window, etc.), are crucial. To tackle this issue, the project will set the optimized parameters to easily evaluate the prospects of developed materials in SC application. By a pioneering effort toward the significant advancement of SC technologies, the MESTUM project will address a fundamental need for clean energy sources.

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